Triple
T29159127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | national desk of The New York Times |
E739136
|
entity |
| Predicate | locatedInHeadquarters |
P136362
|
FINISHED |
| Object | New York City |
—
|
NE NERFINISHED |
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: New York City | Statement: [national desk of The New York Times, locatedInHeadquarters, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInHeadquarters Context triple: [national desk of The New York Times, locatedInHeadquarters, New York City]
-
A.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
B.
partOfHeadquarters
chosen
Indicates that one entity is a component, subdivision, or unit within the headquarters of another entity.
-
C.
headquartersLocationDepicted
Indicates that the depicted place or object in a representation is the location of an entity’s headquarters.
-
D.
nearHeadquartersOf
Indicates that one entity is located geographically close to the headquarters of another entity.
-
E.
hasOwnerHeadquartersIn
Indicates that the owning entity’s main headquarters is located in the specified place.
- 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: April 28, 2026, 11:46 a.m.