Triple
T4025883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Igbo people |
E71689
|
entity |
| Predicate | traditionalTitleSystem |
P37794
|
FINISHED |
| Object | Ozo title |
—
|
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: Ozo title | Statement: [Igbo people, traditionalTitleSystem, Ozo title]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalTitleSystem Context triple: [Igbo people, traditionalTitleSystem, Ozo title]
-
A.
traditionalTitle
Indicates that an entity holds or is associated with a customary or historically established title or honorific within a cultural or social tradition.
-
B.
traditionalTitleHolder
Indicates that one entity holds a customary or historically established title or rank in relation to another entity.
-
C.
traditionalCourtesyTitleHeir
Indicates that one entity holds the customary or historically recognized courtesy title associated with being the heir of another entity.
-
D.
mastersTitles
Indicates that one entity holds one or more master's degree titles associated with another entity (such as an institution, field, or program).
-
E.
traditionalPositions
chosen
Indicates that one entity holds or is associated with customary or historically established roles, stances, or arrangements in relation to another 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaec08dc8190a341809059554f84 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.