Triple
T8928063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seattle downtown street network |
E212584
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | 2nd Avenue |
E388780
|
NE FINISHED |
How this triple was built (2 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: 2nd Avenue | Statement: [Seattle downtown street network, includes, 2nd Avenue]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2nd Avenue Context triple: [Seattle downtown street network, includes, 2nd Avenue]
-
A.
2nd Avenue
chosen
2nd Avenue is a major north–south thoroughfare in downtown Seattle, Washington, known for its mix of commercial buildings, offices, and urban streetscape.
-
B.
2nd Avenue
2nd Avenue is an underground New York City Subway station on the IND Sixth Avenue Line, located on the Lower East Side of Manhattan.
-
C.
3rd Avenue
3rd Avenue is a major north–south thoroughfare in downtown Seattle, Washington, known for its heavy transit use and proximity to key commercial and historic districts.
-
D.
5th Avenue
5th Avenue is a major north–south arterial street in downtown Seattle, Washington, known for running through the city’s central business and retail districts.
-
E.
2nd Street
2nd Street is a major east–west thoroughfare in downtown Los Angeles that runs through the historic Little Tokyo neighborhood and connects several key districts in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca8395c438819087d7cb844ab5990c |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6672af10819084a6e50f0302f732 |
completed | April 1, 2026, 12:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190b5bb70819082b8eeb18bd5f1f6 |
completed | April 4, 2026, 10:29 p.m. |
Created at: March 30, 2026, 6:57 p.m.