Triple
T13804919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Studio 1A, Rockefeller Center, New York City |
E331734
|
entity |
| Predicate | streetLevel |
P50259
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Studio 1A, Rockefeller Center, New York City, streetLevel, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: streetLevel Context triple: [Studio 1A, Rockefeller Center, New York City, streetLevel, true]
-
A.
hasStreetLevel
chosen
Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
-
B.
streetSet
Indicates that a particular street belongs to, or is included within, a specified set or collection of streets.
-
C.
streetLocation
Indicates that one entity is located on, along, or at a specific street associated with the other entity.
-
D.
betweenStreets
Indicates that one location is situated between two specified streets, typically along a road segment bounded by those streets.
-
E.
streetSectionOf
Indicates that one street segment or portion belongs to, is contained within, or forms part of a larger street or roadway.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc862e9608190bd8a3d883959b7e4 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.