Triple
T1620135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forest Hills station |
E35010
|
entity |
| Predicate | hasBusRoutes |
P11026
|
FINISHED |
| Object | multiple MBTA bus routes |
—
|
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: multiple MBTA bus routes | Statement: [Forest Hills station, hasBusRoutes, multiple MBTA bus routes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusRoutes Context triple: [Forest Hills station, hasBusRoutes, multiple MBTA bus routes]
-
A.
hasTransportRoute
chosen
Indicates that there exists a designated transportation connection or route linking one entity to another.
-
B.
hasPublicTransitProvider
Indicates that a place or region is served by a specific public transit operating organization or agency.
-
C.
hasBusOperator
Indicates that a bus service, route, or vehicle is operated or managed by a specific operator or company.
-
D.
hasBusinessRoute
Indicates that there exists an established commercial or service route connecting two business-related entities.
-
E.
hasPublicTransitCoverageType
Indicates the type or category of public transit service coverage associated with an entity.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aaf4a0ef748190ae52b9656474c0ef |
completed | March 6, 2026, 3:37 p.m. |
| PD | Predicate disambiguation | batch_69a907c731808190a1d998155041b3c1 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.