Triple
T34440702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Isheagu |
E884086
|
entity |
| Predicate | isInLocalGovernmentAreaHeadquarteredAt |
P178944
|
FINISHED |
| Object | Ogwashi-Uku |
—
|
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: Ogwashi-Uku | Statement: [Isheagu, isInLocalGovernmentAreaHeadquarteredAt, Ogwashi-Uku]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInLocalGovernmentAreaHeadquarteredAt Context triple: [Isheagu, isInLocalGovernmentAreaHeadquarteredAt, Ogwashi-Uku]
-
A.
hasLocalGovernmentAreaHeadquarters
Indicates that a local government area has its main administrative headquarters located at a specific place.
-
B.
localGovernmentAreaOf
Indicates that one entity is the local government area within whose jurisdiction or administrative boundaries the other entity is located.
-
C.
hasLocalGovernmentAreaName
Indicates that an entity is associated with a local government area identified by a specific name.
-
D.
hasLocalGovernmentAreaCode
Indicates that an entity is associated with a specific local government area identified by a particular code.
-
E.
hasLocalGovernmentAreaStatus
Indicates that an entity holds the official designation or recognition as a local government area within a defined administrative system.
- 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_69f349c548d88190978e2a82502c03d0 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f719cc31ec819099bebcf833b14d76 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71824431081908d9685d2462ea242 |
completed | May 3, 2026, 9:40 a.m. |
| PDg | Predicate description generation | batch_69f719458378819081725f544efb1173 |
completed | May 3, 2026, 9:45 a.m. |
Created at: May 1, 2026, 2 a.m.