Triple
T18990698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B (New York City Subway service) |
E464673
|
entity |
| Predicate | routeThroughBronx |
P21450
|
FINISHED |
| Object | via IND Concourse 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 IND Concourse Line | Statement: [B (New York City Subway service), routeThroughBronx, via IND Concourse Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeThroughBronx Context triple: [B (New York City Subway service), routeThroughBronx, via IND Concourse Line]
-
A.
bronxLine
Indicates a relationship where something is part of, associated with, or runs along the Bronx transit or route line.
-
B.
bronxLocalStops
Indicates that something (typically a train or service) makes local, non-express stops within the Bronx.
-
C.
connectsRockawayParkTo
Indicates a relationship where something serves as a link or route between Rockaway Park and another place or entity.
-
D.
manhattanTrunkLine
Indicates a primary or central route, pathway, or connection running through a dense or core area, analogous to a main trunk line in Manhattan.
-
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.