Triple
T12154137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwali Area Council |
E289531
|
entity |
| Predicate | hasLocalGovernmentChairmanTitle |
P12188
|
FINISHED |
| Object | Executive Chairman |
—
|
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: Executive Chairman | Statement: [Kwali Area Council, hasLocalGovernmentChairmanTitle, Executive Chairman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLocalGovernmentChairmanTitle Context triple: [Kwali Area Council, hasLocalGovernmentChairmanTitle, Executive Chairman]
-
A.
hasChairmanTitle
chosen
Indicates that an entity holds the position or official title of chairman in relation to another entity or organization.
-
B.
hasLocalGovernmentOffice
Indicates that a local government office is present or established within a specified location or jurisdiction.
-
C.
hasTribalChairperson
Indicates that an entity is associated with a specific tribal chairperson who serves as its leader or official representative.
-
D.
hasChiefTitle
Indicates that an entity holds or is associated with a specific chief-level title or designation within an organization or group.
-
E.
hasMinisterTitle
Indicates that an entity holds or is associated with a specific ministerial title or office.
- 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_69d6ab4c6710819097a9d228382dde43 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69d9150c18148190bf8152189c0e5fca |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.