Triple
T5730387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 135th Street station (Lenox Avenue Line) |
E126366
|
entity |
| Predicate | hasStairwaysToStreet |
P22592
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [135th Street station (Lenox Avenue Line), hasStairwaysToStreet, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStairwaysToStreet Context triple: [135th Street station (Lenox Avenue Line), hasStairwaysToStreet, yes]
-
A.
hasStairway
chosen
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasStairsFacing
Indicates that one set of stairs is oriented toward or directly faces another object or direction.
-
C.
numberOfStairs
Indicates the quantity of stairs associated with or present in a given context or structure.
-
D.
hasStaircaseType
Indicates the specific type or design classification of a staircase associated with an entity.
-
E.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
- 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c029014588819094a2a0f6f9b66bab |
completed | March 22, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69c021c6488881909bed4a4534d57f70 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:47 p.m.