Triple
T4430366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boma Ijaw |
E95311
|
entity |
| Predicate | peopleGroupWithin |
P55958
|
FINISHED |
| Object | Ijaw ethnic nationality |
—
|
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: Ijaw ethnic nationality | Statement: [Boma Ijaw, peopleGroupWithin, Ijaw ethnic nationality]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: peopleGroupWithin Context triple: [Boma Ijaw, peopleGroupWithin, Ijaw ethnic nationality]
-
A.
peopleGroupOf
Indicates that one entity is a group or collection composed of the people represented by the other entity.
-
B.
peopleType
Indicates the classification or category of people an entity is associated with or represents.
-
C.
socialGroupInvolved
Indicates that a particular social group participates in, is affected by, or is otherwise involved in the specified event or situation.
-
D.
numberOfPersons
Indicates the total count of individual persons associated with or involved in a given entity, event, or context.
-
E.
groups
Indicates that one entity organizes, clusters, or associates multiple entities together as members of a collective set or category.
- F. None of above. chosen
Provenance (4 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35569b3388190bdef2568f5dc04ce |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f6078cc8190831b89f404198cc5 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.