Triple
T38615247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ughievwen |
E934595
|
entity |
| Predicate | ethnicMajorityCountry |
P12031
|
FINISHED |
| Object | 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: Nigeria | Statement: [Ughievwen, ethnicMajorityCountry, Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicMajorityCountry Context triple: [Ughievwen, ethnicMajorityCountry, Nigeria]
-
A.
majorityCountry
chosen
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
B.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
D.
ethnicMajorityRuled
Indicates that the governing authority or ruling group in a context is composed primarily of members of the ethnic majority.
-
E.
ethnicGroupCountApprox
Indicates an approximate count of distinct ethnic groups associated with or present in a given 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_69fd6dbd1b648190b1a0b391c03aebc5 |
completed | May 8, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69fd6a9020548190bbfa845360ac85fb |
completed | May 8, 2026, 4:46 a.m. |
Created at: May 3, 2026, 4:32 p.m.