Triple
T10859692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gio people |
E256364
|
entity |
| Predicate | ethnicCategoryInLiberia |
P70558
|
FINISHED |
| Object | recognized ethnic group in Liberia |
—
|
LITERAL FINISHED |
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: recognized ethnic group in Liberia | Statement: [Gio people, ethnicCategoryInLiberia, recognized ethnic group in Liberia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethnicCategoryInLiberia Context triple: [Gio people, ethnicCategoryInLiberia, recognized ethnic group in Liberia]
-
A.
populationRankInLiberia
Indicates the relative position of an entity in terms of population size compared to other entities within Liberia.
-
B.
areaRankInLiberia
Indicates the relative position of an entity when all entities in Liberia are ordered by their area size.
-
C.
ethnicCategoryIn
Indicates that an entity belongs to or is classified within a specified ethnic category in a given context.
-
D.
ethnicGroupOfCountry
chosen
Indicates that a particular ethnic group is associated with, or forms part of the population of, a given country.
-
E.
ethnolinguisticGroups
Indicates a relationship where groups are categorized or associated based on shared ethnic and linguistic characteristics.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d75150ceb88190a70356d12ce130c5 |
completed | April 9, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d70d308dfc81908792f98cfb871392 |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:20 p.m.