Triple
T14512845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | GCC member states |
E340440
|
entity |
| Predicate | shareRegionalFocus |
P86279
|
FINISHED |
| Object | political cooperation |
—
|
LITERAL FINISHED |
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: political cooperation | Statement: [GCC member states, shareRegionalFocus, political cooperation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shareRegionalFocus Context triple: [GCC member states, shareRegionalFocus, political cooperation]
-
A.
regionalOrientation
chosen
Indicates how something is directed, aligned, or focused toward a particular geographic region or area.
-
B.
collaborationRegion
Indicates the geographic or administrative area within which the collaboration between entities takes place or is defined.
-
C.
isRegional
Indicates that something pertains to, is characteristic of, or is limited to a specific geographic region or area.
-
D.
regionSpecialization
Indicates that a region is designated or recognized as being particularly focused on, adapted to, or specialized in a specific function, activity, or domain.
-
E.
languageRegionFocus
Indicates that something (such as a work, resource, or activity) is primarily concerned with or targeted toward a specific geographic region in terms of language use or linguistic focus.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a6c6054819086b4c0ce1d83fdc5 |
completed | April 14, 2026, 7:50 p.m. |
| PD | Predicate disambiguation | batch_69de5c4ccba08190a988bfda0bc9f5cb |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:21 a.m.