Triple
T24747532
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kpelle people |
E619040
|
entity |
| Predicate | countryMajorityGroupIn |
P12031
|
FINISHED |
| Object | Liberia |
—
|
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: Liberia | Statement: [Kpelle people, countryMajorityGroupIn, Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryMajorityGroupIn Context triple: [Kpelle people, countryMajorityGroupIn, Liberia]
-
A.
ethnicGroupCountApprox
Indicates an approximate count of distinct ethnic groups associated with or present in a given entity.
-
B.
dominantEthnicGroups
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
C.
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.
-
D.
ethnicGroupOfCountry
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
E.
ethnicGroupSize
Indicates the number of individuals belonging to a particular ethnic group within a specified population or context.
- 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_69e2fabb349881908a13a212a0221a63 |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f453035f508190be83a3d521723acf |
completed | May 1, 2026, 7:15 a.m. |
| PD | Predicate disambiguation | batch_69f44d6ef33081908f5d36ba1ae5f473 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 4:23 a.m.