Triple
T23678526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South East Nigeria |
E584951
|
entity |
| Predicate | capitalCityOfEnuguState |
P152960
|
FINISHED |
| Object | Enugu |
—
|
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: Enugu | Statement: [South East Nigeria, capitalCityOfEnuguState, Enugu]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: capitalCityOfEnuguState Context triple: [South East Nigeria, capitalCityOfEnuguState, Enugu]
-
A.
regionOfNigeria
Indicates that one entity is a geographic region that is part of, or located within, Nigeria.
-
B.
stateOfNigeria
Indicates that the subject is the sovereign nation-state known as Nigeria or pertains to it as a political entity.
-
C.
distanceToAbuja
Indicates the spatial distance between a given location or entity and the city of Abuja.
-
D.
hasAreaRankInNigeria
Indicates that one entity holds a specific rank in terms of area size within the context of Nigeria.
-
E.
associatedStatesInNigeria
Indicates a relationship where certain entities are linked to, or occur within, specific states in Nigeria.
- 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_69e24901f7c08190909fd727632e823d |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b4f5a7b48190b93d27416003e173 |
completed | April 29, 2026, 7:36 a.m. |
| PD | Predicate disambiguation | batch_69f118dd13008190a8799b4e9cadbd79 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f121cc494081908c987adfcde89b0e |
completed | April 28, 2026, 9:08 p.m. |
Created at: April 17, 2026, 6:51 p.m.