Triple
T22818779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 103rd Street station (IRT Lexington Avenue Line) |
E565169
|
entity |
| Predicate | hasTrimLineMosaics |
P44624
|
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: [103rd Street station (IRT Lexington Avenue Line), hasTrimLineMosaics, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTrimLineMosaics Context triple: [103rd Street station (IRT Lexington Avenue Line), hasTrimLineMosaics, yes]
-
A.
hasTrimLineColor
Indicates that an entity has a specific color applied to the trim or outline portion of its visual representation.
-
B.
hasMosaic
chosen
Indicates that one entity possesses, contains, or is decorated with a mosaic.
-
C.
hasTrimMaterial
Indicates that one entity uses or features a particular material specifically for its trim or edging components.
-
D.
hasMosaicsBy
Indicates that something contains or features mosaics that were created by a specified agent or creator.
-
E.
hasStraightLines
Indicates that the related entity possesses or is characterized by straight, non-curved lines.
- 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_69e2458426188190b58b8ab4844fe420 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17dce762c8190934fb921f942c9fd |
completed | April 29, 2026, 3:41 a.m. |
| PD | Predicate disambiguation | batch_69eed2d117088190acbfe130d84f8627 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:33 p.m.