Triple
T3494637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T Third Street line |
E73820
|
entity |
| Predicate | isPartOfUrbanTransitNetwork |
P8428
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [T Third Street line, isPartOfUrbanTransitNetwork, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfUrbanTransitNetwork Context triple: [T Third Street line, isPartOfUrbanTransitNetwork, true]
-
A.
partOfTransitSystem
chosen
Indicates that something is a component or segment within a larger transit or transportation system.
-
B.
isPublicTransport
Indicates that the entity functions as a mode or instance of transportation that is available for use by the general public, typically operating on fixed routes or schedules.
-
C.
hasFormOfPublicTransit
Indicates that one entity provides or is associated with a particular type or mode of public transportation for another entity or context.
-
D.
hasPublicTransitRole
Indicates that an entity holds a specific functional role or responsibility within a public transit system.
-
E.
appliesToTransitSystem
Indicates that something (such as a rule, policy, feature, or condition) is relevant or applicable to a particular transit or transportation system.
- 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_69ad85cdb6e48190a335d412b9194ed8 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbbaebed881909d9cbc9c4c1f138f |
completed | March 8, 2026, 6:10 p.m. |
| PD | Predicate disambiguation | batch_69adae0b34908190b2bb5766a2231f7a |
completed | March 8, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:18 p.m.