Triple
T34687498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ukwuani people |
E890791
|
entity |
| Predicate | majorLGA |
P199898
|
FINISHED |
| Object | Ndokwa East |
—
|
NE NERFINISHED |
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: Ndokwa East | Statement: [Ukwuani people, majorLGA, Ndokwa East]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorLGA Context triple: [Ukwuani people, majorLGA, Ndokwa East]
-
A.
majorDistrict
Indicates that one administrative district is the primary or most significant district associated with another entity or area.
-
B.
majorCounty
Indicates that a county holds primary or significant administrative, economic, or demographic importance within a larger region or jurisdiction.
-
C.
macroArea
Indicates a broad geographic or regional grouping within which an entity (such as a language or location) is situated.
-
D.
isLargestSuburbOf
Indicates that one suburb is the largest (typically by area or population) among all suburbs within a specified city or region.
-
E.
laterMajorCenter
Indicates that one entity became a major center or focal point of activity, influence, or importance at a later time relative to another entity.
- 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_69f349dabc008190a18999c26682ed47 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff63225b6481909217ad11b4f7d3ba |
completed | May 9, 2026, 4:38 p.m. |
| PD | Predicate disambiguation | batch_69ff60e0882c819085d097010db43ee0 |
completed | May 9, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69ff632176b0819084610ae2e57ab679 |
completed | May 9, 2026, 4:38 p.m. |
Created at: May 1, 2026, 2:05 a.m.