Triple
T30771151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FROLINAT |
E783524
|
entity |
| Predicate | primaryRecruitmentBase |
P203067
|
FINISHED |
| Object | northern Muslim populations of Chad |
—
|
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: northern Muslim populations of Chad | Statement: [FROLINAT, primaryRecruitmentBase, northern Muslim populations of Chad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryRecruitmentBase Context triple: [FROLINAT, primaryRecruitmentBase, northern Muslim populations of Chad]
-
A.
primaryLocationIn
chosen
Indicates that an entity’s main or most significant location is within or at the referenced place.
-
B.
primaryResourceSought
Indicates that an entity is the main or principal resource being sought or requested in a given context.
-
C.
primaryArea
Indicates that one entity is the main or most important area, domain, or field associated with another entity.
-
D.
primaryTarget
Indicates that an entity is the main or most important target of another entity’s action, focus, or effect.
-
E.
primaryUSBase
Indicates that a given location serves as the main or most important United States base 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_69f224b1519081908b9db003fd2073e0 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a0337c7389c8190b71d27b8eb8daf9a |
completed | May 12, 2026, 2:23 p.m. |
| PD | Predicate disambiguation | batch_6a0335b7b1588190b02a0ce6a08704aa |
completed | May 12, 2026, 2:14 p.m. |
Created at: April 29, 2026, 8:40 p.m.