Triple
T30787486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chewong language |
E783992
|
entity |
| Predicate | spokenByPopulationType |
P5947
|
FINISHED |
| Object | small ethnic minority group |
—
|
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: small ethnic minority group | Statement: [Chewong language, spokenByPopulationType, small ethnic minority group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spokenByPopulationType Context triple: [Chewong language, spokenByPopulationType, small ethnic minority group]
-
A.
isSpokenByPopulationIn
Indicates that a particular language is used as a spoken means of communication by the people living within a specified geographic region or population group.
-
B.
hasPopulationType
chosen
Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
-
C.
hadPopulationType
Indicates that an entity possessed a particular classification or type of population during a given time or context.
-
D.
servicePopulationType
Indicates the type or category of population that a service is intended to serve or target.
-
E.
haveSpeakerPopulation
Indicates that an entity has a specified number or population size of people who speak a particular language.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f6900ab06c8190856785240a8faa83 |
completed | May 3, 2026, midnight |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:41 p.m.