Triple
T25651788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Regents |
E643119
|
entity |
| Predicate | hasHomeInstitutionCountry |
P308
|
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: [Regents, hasHomeInstitutionCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHomeInstitutionCountry Context triple: [Regents, hasHomeInstitutionCountry, United States]
-
A.
countryOfInstitution
chosen
Indicates the country in which an institution is located or officially based.
-
B.
hasHomeCountryUnion
Indicates that an entity’s home country is a member of, or belongs to, a specified political or economic union.
-
C.
hasLocalInstitution
Indicates that a given place or region possesses or hosts an institution that operates locally within its boundaries.
-
D.
hasInstitutionalHome
Indicates that an entity is formally based in, hosted by, or affiliated with a particular institution as its organizational home.
-
E.
hasCountry
Indicates that one entity possesses, is associated with, or is located within a specific country.
- 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_69e77e7d8a848190a98d0162325fd780 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f661b58ac48190907b6c6e9ccc2c59 |
completed | May 2, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_69f660eea4648190b0d5e24293607813 |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 21, 2026, 6:25 p.m.