Triple
T11439106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queens Museum |
E271093
|
entity |
| Predicate | panoramaSubject |
P61635
|
FINISHED |
| Object | all five boroughs of New York City |
—
|
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: all five boroughs of New York City | Statement: [Queens Museum, panoramaSubject, all five boroughs of New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: panoramaSubject Context triple: [Queens Museum, panoramaSubject, all five boroughs of New York City]
-
A.
isPhotographicSubject
Indicates that an entity serves as the subject or main focus captured in a photograph taken by another entity.
-
B.
sceneFeature
chosen
Indicates a characteristic, element, or attribute that is present within or helps define a particular scene.
-
C.
subjectOfTour
Indicates that an entity serves as the main focus, destination, or theme of a tour.
-
D.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
E.
subjectOfDescription
Indicates that the subject is the main entity being described or characterized in a given context or statement.
- 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_69d6aadeef688190874bcecd88b3dd9b |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d80888190c8190b6365550ffe4931c |
completed | April 9, 2026, 8:14 p.m. |
| PD | Predicate disambiguation | batch_69d7e7162b288190a0bfb89f7eb747c7 |
completed | April 9, 2026, 5:51 p.m. |
Created at: April 8, 2026, 9:35 p.m.