Triple
T38615354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mosogar |
E934598
|
entity |
| Predicate | isInGeoPoliticalZone |
P45703
|
FINISHED |
| Object | South-South geopolitical zone of Nigeria |
—
|
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: South-South geopolitical zone of Nigeria | Statement: [Mosogar, isInGeoPoliticalZone, South-South geopolitical zone of Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInGeoPoliticalZone Context triple: [Mosogar, isInGeoPoliticalZone, South-South geopolitical zone of Nigeria]
-
A.
geopoliticalZoneCountInNigeria
Indicates the total number of officially recognized geopolitical zones that exist within Nigeria.
-
B.
isInEconomicZone
Indicates that one entity lies within the designated economic jurisdiction or exclusive economic zone of another entity.
-
C.
regionOfNigeria
Indicates that one entity is a geographic region that is part of, or located within, Nigeria.
-
D.
isInGeopoliticalEntity
chosen
Indicates that one entity is located within, or is a part of, a specific geopolitical unit such as a country, state, or city.
-
E.
isRegionOf
Indicates that one entity is a geographic or administrative region belonging to, contained within, or associated with 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_69f76eccd6d081909ccce171011739a1 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdb0de8c08190928cd1323f80ab5c |
completed | May 7, 2026, 6:33 p.m. |
| PD | Predicate disambiguation | batch_69fcd9017dd88190b32a73fe78909740 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.