Triple
T30365552
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phom Peoples Council |
E772410
|
entity |
| Predicate | hasEthnicConstituency |
P32688
|
FINISHED |
| Object | Phom Naga |
—
|
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: Phom Naga | Statement: [Phom Peoples Council, hasEthnicConstituency, Phom Naga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEthnicConstituency Context triple: [Phom Peoples Council, hasEthnicConstituency, Phom Naga]
-
A.
ethnicConstituency
chosen
Indicates that a political or administrative constituency is defined or characterized primarily by the ethnicity of its population.
-
B.
hasEthnicOrNationalComposition
Indicates that an entity is characterized by a particular ethnic or national group composition.
-
C.
hasEthnicDivision
Indicates that a group, region, or entity is characterized by internal divisions or distinctions based on ethnicity.
-
D.
hasMajorEthnicMinority
Indicates that an entity includes a significant ethnic minority group within its overall population or composition.
-
E.
hasSignificantEthnicCompositionIssue
Indicates that there is a notable problem or concern related to the ethnic composition or ethnic balance within the referenced entity 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f71996e1a48190ac59a1d66d7c44e8 |
completed | May 3, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69f71820c6c88190ab38b4fa626d22cc |
completed | May 3, 2026, 9:40 a.m. |
Created at: April 29, 2026, 7:58 p.m.