Triple
T31265549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tonzang |
E797243
|
entity |
| Predicate | populationEthnicityMajority |
P65193
|
FINISHED |
| Object | Chin people |
—
|
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: Chin people | Statement: [Tonzang, populationEthnicityMajority, Chin people]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: populationEthnicityMajority Context triple: [Tonzang, populationEthnicityMajority, Chin people]
-
A.
dominantEthnicGroups
chosen
Indicates that the specified ethnic groups hold primary demographic, cultural, or political prominence within a given region or population.
-
B.
populationEthnicGroup
Indicates that a specified ethnic group constitutes part or all of the population of a given place or community.
-
C.
demographicMajority
Indicates that one group constitutes more than half of the population within a specified context or area.
-
D.
majorityCountry
Indicates that a given country is the one in which the majority of a specified group, population, or instances are located or occur.
-
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_69f224de2bbc819081af6c32e1d857b9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 29, 2026, 9:12 p.m.