Triple
T13266188
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 170th Street (Grand Concourse) station |
E315929
|
entity |
| Predicate | hasColumnsOnPlatform |
P13119
|
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: [170th Street (Grand Concourse) station, hasColumnsOnPlatform, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasColumnsOnPlatform Context triple: [170th Street (Grand Concourse) station, hasColumnsOnPlatform, yes]
-
A.
hasColumns
chosen
Indicates that one entity possesses or is characterized by a set of columns associated with it.
-
B.
hasPlatformType
Indicates that an entity is associated with or characterized by a specific type or category of platform.
-
C.
hasCol
Indicates that one entity possesses, contains, or is associated with a particular color.
-
D.
hasDeepPlatform
Indicates that one entity possesses or provides a platform characterized by significant depth, capability, or extensiveness in supporting another entity’s activities or functions.
-
E.
supportsColumnSelectionBy
Indicates that one entity enables or provides functionality for another entity to select specific columns.
- 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_69d806b1d9ac8190852c5571d5bd5f0f |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99cfdc9388190af1fdd3cd4717bd8 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f60911081909fa346a054f76c9f |
completed | April 11, 2026, 12:01 a.m. |
Created at: April 9, 2026, 9:25 p.m.