Triple
T38284875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | B Corporation certification |
E1022176
|
entity |
| Predicate | headquarteredCertificationBodyIn |
P55027
|
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: [B Corporation certification, headquarteredCertificationBodyIn, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headquarteredCertificationBodyIn Context triple: [B Corporation certification, headquarteredCertificationBodyIn, United States]
-
A.
headquarteredWith
Indicates that two entities share the same headquarters location.
-
B.
typeOfComplianceBody
Indicates that one entity is a compliance-related body or authority of the type specified by the other entity.
-
C.
headquarteredBrandOf
Indicates that one entity serves as the main corporate base or headquarters location for a particular brand.
-
D.
hasAwardingBodyHeadquarters
chosen
Indicates that an awarding body has its main headquarters located at a specific place.
-
E.
hasHeadquartersType
Indicates the specific kind or classification of headquarters associated with an entity.
- 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_69f76df0cddc81908d16c1556ff4097f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.