Triple
T2314407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Second Avenue Subway |
E51029
|
entity |
| Predicate | notableStationArt |
P25947
|
FINISHED |
| Object | 72nd Street station artwork by Vik Muniz |
—
|
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: 72nd Street station artwork by Vik Muniz | Statement: [Second Avenue Subway, notableStationArt, 72nd Street station artwork by Vik Muniz]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableStationArt Context triple: [Second Avenue Subway, notableStationArt, 72nd Street station artwork by Vik Muniz]
-
A.
notableSculpture
Indicates that an entity is a sculpture for which the subject is especially known or recognized.
-
B.
notableMural
Indicates that an entity is a mural distinguished by particular significance, prominence, or recognition.
-
C.
famousArtworkLocatedIn
chosen
Indicates that a specific famous artwork is physically situated or displayed within a particular location or venue.
-
D.
featuresSculptureOf
Indicates that one entity includes or displays a sculpture that depicts or represents another entity.
-
E.
notableArtist
Indicates that the subject is an artist who is widely recognized or distinguished for their work.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc685f05481909c863b29d1f6bacd |
completed | March 7, 2026, 6:32 a.m. |
| PD | Predicate disambiguation | batch_69abc58e88e481908733fdf79d3f8a15 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:49 p.m.