Triple
T26097715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nation Associates |
E658317
|
entity |
| Predicate | supportedPublicationCountry |
P322
|
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: [Nation Associates, supportedPublicationCountry, United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedPublicationCountry Context triple: [Nation Associates, supportedPublicationCountry, United States]
-
A.
supportsCountry
Indicates that one entity provides assistance, endorsement, or backing to a specific country.
-
B.
publishedInTerritory
Indicates that something (such as a work, product, or edition) has been published within a specific geographic or legal territory.
-
C.
countryOfPublication
chosen
Indicates the country in which a work was formally published or made publicly available.
-
D.
eligibleCountry
Indicates that a given country meets the required criteria or conditions to qualify for a specified program, action, or status.
-
E.
establishedForCountry
Indicates that something (such as an organization, institution, or system) was created or set up specifically to serve, represent, or operate within a particular 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_69ee5bc09c288190bc42a11972841383 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69fd68abf52881909c5a390c362b7c59 |
completed | May 8, 2026, 4:38 a.m. |
| PD | Predicate disambiguation | batch_69fd6812d0c88190930d8fa2d4b92490 |
completed | May 8, 2026, 4:35 a.m. |
Created at: April 26, 2026, 7:52 p.m.