Triple
T11621059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTV Studios, Times Square |
E275636
|
entity |
| Predicate | locatedInTimeSquareArea |
P100633
|
FINISHED |
| Object | Broadway and Seventh Avenue vicinity |
—
|
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: Broadway and Seventh Avenue vicinity | Statement: [MTV Studios, Times Square, locatedInTimeSquareArea, Broadway and Seventh Avenue vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTimeSquareArea Context triple: [MTV Studios, Times Square, locatedInTimeSquareArea, Broadway and Seventh Avenue vicinity]
-
A.
locationOnSquare
Indicates that one entity is positioned on a specific square region or cell within a larger spatial grid or board.
-
B.
isLocatedDowntown
Indicates that an entity is situated within the downtown area of a city or town.
-
C.
isDowntownLandmark
Indicates that a location is recognized as a notable or prominent landmark within a city’s downtown area.
-
D.
timeLocatedIn
Indicates that an event, state, or entity occurs, exists, or is valid within a specified time or temporal interval.
-
E.
isLargestCoveredPublicSquareIn
Indicates that a public square is the largest roofed or otherwise covered public square within a specified geographic area or jurisdiction.
- F. None of above. chosen
Provenance (4 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_69d6aaf84b548190ac072e4fb89ae18f |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a1206f1c81908d92024ef71958c0 |
completed | April 10, 2026, 7:05 a.m. |
| PD | Predicate disambiguation | batch_69d85dd6503c819081f9045e9d5c4f3f |
completed | April 10, 2026, 2:17 a.m. |
| PDg | Predicate description generation | batch_69d87f2e67108190ac36bf47aac12fa8 |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.