Triple
T28195679
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | chairman of Globalia |
E716438
|
entity |
| Predicate | locatedInOrganizationHeadquartersCountry |
P26640
|
FINISHED |
| Object | Spain |
—
|
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: Spain | Statement: [chairman of Globalia, locatedInOrganizationHeadquartersCountry, Spain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInOrganizationHeadquartersCountry Context triple: [chairman of Globalia, locatedInOrganizationHeadquartersCountry, Spain]
-
A.
organizationHeadquarteredInCountry
chosen
Indicates that an organization’s main headquarters or principal place of business is located within a specified country.
-
B.
locatedInTheCountryOfOffice
Indicates that an office or organizational branch is situated within the specified country.
-
C.
hasParentInstitutionHeadquartersIn
Indicates that the headquarters of an entity’s parent institution is located in a specified place.
-
D.
countryOfHeadquartersOfEmployer
Indicates the country where the employing organization’s main headquarters is located.
-
E.
governingBodyHeadquartersCountry
Indicates the country in which the headquarters of a governing body is located.
- 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_69efd6b612f48190a72012b520afbd10 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: April 27, 2026, 10:27 p.m.