Triple
T15754664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commerce, California |
E381936
|
entity |
| Predicate | hasPublicTransit |
P522
|
FINISHED |
| Object |
Commerce Municipal Bus
Commerce Municipal Bus is the city-operated public bus system serving residents, workers, and visitors in Commerce, California.
|
E1175390
|
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: Commerce Municipal Bus | Statement: [Commerce, California, hasPublicTransit, Commerce Municipal Bus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Commerce Municipal Bus Context triple: [Commerce, California, hasPublicTransit, Commerce Municipal Bus]
-
A.
Metro Bus
Metro Bus is the public bus transit system serving the Buffalo–Niagara region of Western New York.
-
B.
Metro Bus
Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
-
C.
Metrobus
Metrobus is a British bus operator providing local and regional bus services, primarily in Southeast England.
-
D.
Metrobus
Metrobus is Istanbul’s bus rapid transit system that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
-
E.
Metrobus
Metrobus is Istanbul’s dedicated bus rapid transit system that runs on exclusive lanes to provide fast, high-capacity public transportation across the city.
- 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: Commerce Municipal Bus Triple: [Commerce, California, hasPublicTransit, Commerce Municipal Bus]
Generated description
Commerce Municipal Bus is the city-operated public bus system serving residents, workers, and visitors in Commerce, California.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Commerce Municipal Bus Target entity description: Commerce Municipal Bus is the city-operated public bus system serving residents, workers, and visitors in Commerce, California.
-
A.
Metro Bus
Metro Bus is the public bus transit system serving the Buffalo–Niagara region of Western New York.
-
B.
Metro Bus
Metro Bus is the primary public bus service network for Los Angeles County, providing extensive local and rapid transit across the region.
-
C.
Metrobus
Metrobus is a British bus operator providing local and regional bus services, primarily in Southeast England.
-
D.
Metrobus
Metrobus is Istanbul’s bus rapid transit system that runs on dedicated lanes to provide fast, high-capacity public transportation across the city.
-
E.
Metrobus
Metrobus is Istanbul’s dedicated bus rapid transit system that runs on exclusive lanes to provide fast, high-capacity public transportation across the city.
- 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05031f6a08190bfb333eced0a59a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff887dc9cc81908833f9881647d82f |
completed | May 9, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8970b85081909c8eb114851841f1 |
completed | May 9, 2026, 7:22 p.m. |
Created at: April 10, 2026, 4:47 a.m.