Triple
T18990697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B (New York City Subway service) |
E464673
|
entity |
| Predicate | routeThroughManhattan |
P17428
|
FINISHED |
| Object | via IND Sixth Avenue 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 Sixth Avenue Line | Statement: [B (New York City Subway service), routeThroughManhattan, via IND Sixth Avenue Line]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: routeThroughManhattan Context triple: [B (New York City Subway service), routeThroughManhattan, via IND Sixth Avenue Line]
-
A.
manhattanConnection
Indicates a direct or indirect connection or route between two entities specifically within the Manhattan area or grid.
-
B.
manhattanTrunkLine
chosen
Indicates a primary or central route, pathway, or connection running through a dense or core area, analogous to a main trunk line in Manhattan.
-
C.
primaryAvenueInManhattan
Indicates that one entity is the main or most significant avenue located within Manhattan in relation to the other entity.
-
D.
onSideOfManhattan
Indicates that one entity is located on the same side of Manhattan as, or relative to, another reference entity.
-
E.
rankInNYCAreaByTraffic
Indicates the position of an entity in an ordered list of entities in the New York City area, sorted by the amount of traffic they receive.
- 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.