Triple
T16746116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 23rd Street (BMT Broadway Line) |
E406958
|
entity |
| Predicate | passagewayConnection |
P124479
|
FINISHED |
| Object | no crossunder or crossover |
—
|
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: no crossunder or crossover | Statement: [23rd Street (BMT Broadway Line), passagewayConnection, no crossunder or crossover]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: passagewayConnection Context triple: [23rd Street (BMT Broadway Line), passagewayConnection, no crossunder or crossover]
-
A.
nearbyConnectionViaPassageways
Indicates that two locations are close to each other and are connected specifically through one or more passageways.
-
B.
exitsThrough
Indicates that an entity leaves or departs from a place, structure, or area by passing through a specified exit or passage.
-
C.
isPartOfCorridorSystem
Indicates that one entity forms a component or segment within a larger interconnected corridor system.
-
D.
partOfTunnel
Indicates that one entity forms a physical segment or component within the structure or extent of a tunnel.
-
E.
ropewayConnects
Indicates that a ropeway (such as a cable car or gondola system) provides a direct transportation connection between two locations.
- F. None of above. chosen
Provenance (4 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa223aa88190a3c1805ece7317e2 |
completed | April 18, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69e319c807788190901250ab6e0ca55f |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326b9e84881909a9166e65bd850d6 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:21 a.m.