Triple
T18990699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B (New York City Subway service) |
E464673
|
entity |
| Predicate | routeThroughBrooklyn |
P21450
|
FINISHED |
| Object | via BMT Brighton Line |
—
|
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: via BMT Brighton Line | Statement: [B (New York City Subway service), routeThroughBrooklyn, via BMT Brighton Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeThroughBrooklyn Context triple: [B (New York City Subway service), routeThroughBrooklyn, via BMT Brighton Line]
-
A.
brooklynTerminus
Indicates a relationship where a route, line, or service has its ending point or final stop located in Brooklyn.
-
B.
brooklynTrunkLine
Indicates a relationship where something is part of, connected to, or runs along the main “Brooklyn Trunk Line” infrastructure route.
-
C.
accessPointOnBrooklynSide
Indicates that the access point is located on the Brooklyn side of a relevant boundary or structure.
-
D.
connectsRockawayParkTo
Indicates a relationship where something serves as a link or route between Rockaway Park and another place or entity.
-
E.
passesThroughBorough
chosen
Indicates that something (such as a route, line, or path) traverses or goes through a particular borough.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6632cb08190a28f6ab74c2156d8 |
completed | April 20, 2026, 7:31 a.m. |
| PD | Predicate disambiguation | batch_69e4a2f88e0c81908cb20f08bf24cd32 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 12:01 p.m.