Triple
T19613877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayelsa East Senatorial District |
E470805
|
entity |
| Predicate | politicalUnitOf |
P46230
|
FINISHED |
| Object | Bayelsa State |
—
|
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: Bayelsa State | Statement: [Bayelsa East Senatorial District, politicalUnitOf, Bayelsa State]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: politicalUnitOf Context triple: [Bayelsa East Senatorial District, politicalUnitOf, Bayelsa State]
-
A.
politicalEntityWithin
chosen
Indicates that one political entity is geographically or administratively contained within another political entity.
-
B.
politicalEntity
Indicates that an entity functions as or is recognized as a political unit, organization, or actor within a political system.
-
C.
isPoliticalGeographicUnit
Indicates that an entity functions as a defined geographic area used for political or administrative purposes, such as governance, representation, or jurisdiction.
-
D.
legislativeRepresentationUnit
Indicates that one entity serves as a unit or body that provides legislative representation for another entity.
-
E.
governmentalUnit
Indicates that one entity functions as a governmental or administrative unit 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640ce272481909688527f72d2c976 |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.