Triple
T15475448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oakland Embarcadero roadway |
E376770
|
entity |
| Predicate | partOfTransportationNetwork |
P8428
|
FINISHED |
| Object |
Oakland street network
The Oakland street network is the interconnected system of roads, streets, and thoroughfares that supports vehicular, transit, cycling, and pedestrian movement throughout the city of Oakland, California.
|
E1159298
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Oakland street network | Statement: [Oakland Embarcadero roadway, partOfTransportationNetwork, Oakland street network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oakland street network Context triple: [Oakland Embarcadero roadway, partOfTransportationNetwork, Oakland street network]
-
A.
San Francisco street network
The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
-
B.
Portland street network
The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
-
C.
Los Angeles street network
The Los Angeles street network is the extensive, car-oriented system of roads, freeways, and neighborhood streets that structures transportation and urban form across the Los Angeles metropolitan area.
-
D.
Portland downtown street network
The Portland downtown street network is the interconnected grid of roads, lanes, and pedestrian routes that forms the core circulation system of Portland, Maine’s central business and waterfront district.
-
E.
Philadelphia street network
The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Oakland street network Triple: [Oakland Embarcadero roadway, partOfTransportationNetwork, Oakland street network]
Generated description
The Oakland street network is the interconnected system of roads, streets, and thoroughfares that supports vehicular, transit, cycling, and pedestrian movement throughout the city of Oakland, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Oakland street network Target entity description: The Oakland street network is the interconnected system of roads, streets, and thoroughfares that supports vehicular, transit, cycling, and pedestrian movement throughout the city of Oakland, California.
-
A.
San Francisco street network
The San Francisco street network is the interconnected system of roads, avenues, and highways that structure transportation and urban movement throughout the city of San Francisco.
-
B.
Portland street network
The Portland street network is the interconnected system of roads, avenues, and transit corridors that structure transportation and urban movement throughout Portland, Oregon.
-
C.
Los Angeles street network
The Los Angeles street network is the extensive, car-oriented system of roads, freeways, and neighborhood streets that structures transportation and urban form across the Los Angeles metropolitan area.
-
D.
Portland downtown street network
The Portland downtown street network is the interconnected grid of roads, lanes, and pedestrian routes that forms the core circulation system of Portland, Maine’s central business and waterfront district.
-
E.
Philadelphia street network
The Philadelphia street network is the interconnected system of roads, avenues, and thoroughfares that structure transportation and urban layout across the city of Philadelphia and its surrounding areas.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6e859481909c3d08343b7ad27c |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2d093ccc8190aefc355a837c83f4 |
completed | May 9, 2026, 12:48 p.m. |
| NEDg | Description generation | batch_69ff3015ee2c8190ad2c28cd2850d903 |
completed | May 9, 2026, 1:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff30ed9a5481909cefad0ef877a2e9 |
completed | May 9, 2026, 1:04 p.m. |
Created at: April 10, 2026, 3:34 a.m.