Triple
T26135988
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MER |
E659384
|
entity |
| Predicate | hadHeadquartersCity |
P60125
|
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: [MER, hadHeadquartersCity, New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadHeadquartersCity Context triple: [MER, hadHeadquartersCity, New York City]
-
A.
hasHeadOfficeCity
chosen
Indicates that an organization’s main or central administrative office is located in a particular city.
-
B.
headquartersLocation
Indicates the place where an organization’s main administrative center or principal office is located.
-
C.
hasOrganizationHeadquarters
Indicates that an organization’s main administrative or operational center is located at a specific place.
-
D.
laterCompanyHeadquartersCity
Indicates that the specified city is the location of a company’s headquarters during a later period in time, following an earlier headquarters location.
-
E.
hasOrganizationHeadquartered
Indicates that an organization has its main headquarters located in a 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_69ee5bc3c20c8190bf2cf272f4170e95 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60b96c1ac8190adc0ceb44507777e |
completed | May 2, 2026, 2:35 p.m. |
| PD | Predicate disambiguation | batch_69f5b0021da88190bdd4cf2698c23edf |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:17 p.m.