Triple
T7183614
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jackson Heights–Roosevelt Avenue |
E167513
|
entity |
| Predicate | hasPassageways |
P5520
|
FINISHED |
| Object | multiple passageways connecting IND and IRT levels |
—
|
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 passageways connecting IND and IRT levels | Statement: [Jackson Heights–Roosevelt Avenue, hasPassageways, multiple passageways connecting IND and IRT levels]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPassageways Context triple: [Jackson Heights–Roosevelt Avenue, hasPassageways, multiple passageways connecting IND and IRT levels]
-
A.
hasCorridor
chosen
Indicates that one entity includes, is connected by, or provides access through a corridor to another entity.
-
B.
hasSeparateEntrances
Indicates that the related entities each have their own distinct entrance, rather than sharing a common one.
-
C.
hasNumberOfEntrances
Indicates the relationship that specifies how many entrances an entity possesses.
-
D.
hasEntrance
Indicates that one entity possesses or provides an entry point or access way to another entity or space.
-
E.
hasShelteredEntrances
Indicates that an entity provides one or more entrances that are covered or protected from weather or external exposure.
- 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_69c6888a7c548190a3d39b52a393080f |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e9b045c48190b27b2d6f7c11026f |
completed | March 27, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69c6e74fb0f48190b2ad4dd4efdd241a |
completed | March 27, 2026, 8:23 p.m. |
Created at: March 27, 2026, 2:49 p.m.