Triple
T16503873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 36th Avenue station |
E400869
|
entity |
| Predicate | hasArtOrDesignElement |
P1529
|
FINISHED |
| Object | standard MTA design elements |
—
|
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: standard MTA design elements | Statement: [36th Avenue station, hasArtOrDesignElement, standard MTA design elements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasArtOrDesignElement Context triple: [36th Avenue station, hasArtOrDesignElement, standard MTA design elements]
-
A.
hasArtFeature
Indicates that an entity possesses or is characterized by a particular artistic attribute, element, or stylistic feature.
-
B.
hasDesign
chosen
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with another entity.
-
C.
hasArtDirection
Indicates that one entity is responsible for or associated with the artistic direction or visual style of another entity.
-
D.
hasArtisticOrigin
Indicates that something originates from, is derived from, or is rooted in an artistic source, style, or tradition.
-
E.
hasArtSubjects
Indicates that an entity is associated with one or more subjects or themes within the domain of art.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e5100e48190a623d6ee2fefb87e |
completed | April 18, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69e296902d6c8190884ddb612b8c5b36 |
completed | April 17, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:14 a.m.