Triple
T12129923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Are Ona Kakanfo |
E288906
|
entity |
| Predicate | riskAssociatedWithOffice |
P103548
|
FINISHED |
| Object | high mortality in battle |
—
|
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: high mortality in battle | Statement: [Are Ona Kakanfo, riskAssociatedWithOffice, high mortality in battle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: riskAssociatedWithOffice Context triple: [Are Ona Kakanfo, riskAssociatedWithOffice, high mortality in battle]
-
A.
riskAddressed
Indicates that a particular risk has been identified and is being mitigated, managed, or otherwise handled by an associated action, control, or measure.
-
B.
hasAssociatedOffice
Indicates that an entity is linked to or connected with a particular office in an official or functional capacity.
-
C.
executiveOfficeInvolved
Indicates that an executive-level office is directly involved in, overseeing, or responsible for the referenced action or relationship.
-
D.
associatedWithGovernmentOfficial
Indicates a relationship in which an entity has a connection, involvement, or affiliation with a government official.
-
E.
limitsOffice
Indicates that one entity imposes a restriction or cap on the scope, duration, or powers of another entity’s office or official position.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.