Triple
T26135990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MER |
E659384
|
entity |
| Predicate | hadHeadquartersCountry |
P46909
|
FINISHED |
| Object | United States |
—
|
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: United States | Statement: [MER, hadHeadquartersCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadHeadquartersCountry Context triple: [MER, hadHeadquartersCountry, United States]
-
A.
formerHeadquartersCountry
Indicates the country in which an entity’s headquarters used to be located before being moved or closed.
-
B.
hasHeadquartersOn
Indicates that an organization’s main headquarters is located on a specified street, road, or similar thoroughfare.
-
C.
hasOrHadHeadquartersIn
chosen
Indicates that an organization currently has, or previously had, its main headquarters located in a specified place.
-
D.
organizationHeadquarteredInCountry
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
-
E.
hasOrganizationHeadquarters
Indicates that an organization’s main administrative or operational center is located at a specific 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_69f602d07590819085ac34b189613104 |
completed | May 2, 2026, 1:57 p.m. |
Created at: April 26, 2026, 8:17 p.m.