Triple
T34298080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay Metropolitan Transportation Authority |
E880088
|
entity |
| Predicate | transportationSubsector |
P23255
|
FINISHED |
| Object | urban and regional bus transit |
—
|
LITERAL 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: urban and regional bus transit | Statement: [Bay Metropolitan Transportation Authority, transportationSubsector, urban and regional bus transit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationSubsector Context triple: [Bay Metropolitan Transportation Authority, transportationSubsector, urban and regional bus transit]
-
A.
transportationSector
chosen
Indicates a relationship where an entity is involved in, associated with, or classified as part of the transportation sector or transportation-related activities.
-
B.
transportation
Indicates the movement of someone or something from one place to another, typically using a vehicle or transit system.
-
C.
transportationContext
Indicates the situational or environmental conditions under which transportation occurs, such as mode, purpose, or circumstances of travel.
-
D.
transports
Indicates that one entity carries or conveys another entity from one place to another.
-
E.
typeOfTransportInfrastructure
Indicates the specific category or kind of transport infrastructure associated with or used in a given context.
- F. None of above.
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_69f349b79f6c81909cb468c92c39c74d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff1f3f94fc819095955299f50ab4ce |
completed | May 9, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69ff1ea47748819082f63d9b9d9c3e65 |
completed | May 9, 2026, 11:46 a.m. |
Created at: May 1, 2026, 1:57 a.m.