Triple
T28225389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tremont Avenue (IND Concourse Line) |
E711570
|
entity |
| Predicate | hasStairwayToStreet |
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: [Tremont Avenue (IND Concourse Line), hasStairwayToStreet, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStairwayToStreet Context triple: [Tremont Avenue (IND Concourse Line), hasStairwayToStreet, yes]
-
A.
hasStairway
chosen
Indicates that one entity includes or is connected to another entity by a stairway providing vertical access between levels.
-
B.
hasCanopiesAtStreetStairs
Indicates that canopies are present at the locations of street-level stairways.
-
C.
hasStairsFacing
Indicates that one set of stairs is oriented toward or directly faces another object or direction.
-
D.
hasSidewalk
Indicates that a location, path, or roadway is accompanied by a designated sidewalk area for pedestrian use.
-
E.
hasNumberOfSidewalks
Indicates the quantity of sidewalks associated with or present along a given entity or location.
- 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_69efb51dfb048190ada79b745c33b363 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69fd35d108908190b79b1e8e6bbd62aa |
completed | May 8, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69fd34cb46108190b43c3b7f67ec4cd4 |
completed | May 8, 2026, 12:56 a.m. |
Created at: April 27, 2026, 10:49 p.m.