Triple
T24974241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | co-founding Reebok |
E624973
|
entity |
| Predicate | hasLaterHeadquartersCountry |
P75886
|
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: [co-founding Reebok, hasLaterHeadquartersCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLaterHeadquartersCountry Context triple: [co-founding Reebok, hasLaterHeadquartersCountry, United States]
-
A.
hasOrHadHeadquartersIn
Indicates that an organization currently has, or previously had, its main headquarters located in a specified place.
-
B.
movedHeadquartersToCountry
chosen
Indicates that an entity relocated its main headquarters to a specified country.
-
C.
formerHeadquartersCountry
Indicates the country in which an entity’s headquarters used to be located before being moved or closed.
-
D.
laterSeatOfGovernment
Indicates that the referenced place served as a subsequent seat of government for the same political entity after an earlier one.
-
E.
hasFormerCountry
Indicates that an entity was previously part of, or belonged to, a country that no longer exists in its former political form.
- 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_69e2ff24512481908e9a72315b8d0354 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f62d89b89c8190afb372a8172111e7 |
completed | May 2, 2026, 4:59 p.m. |
| PD | Predicate disambiguation | batch_69f62c1379f08190836c3e02b0c892df |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 18, 2026, 6:01 a.m.