Triple
T27182859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Khagrachhari |
E683242
|
entity |
| Predicate | partOfConflictHistory |
P120570
|
FINISHED |
| Object | Chittagong Hill Tracts conflict |
—
|
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: Chittagong Hill Tracts conflict | Statement: [Khagrachhari, partOfConflictHistory, Chittagong Hill Tracts conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfConflictHistory Context triple: [Khagrachhari, partOfConflictHistory, Chittagong Hill Tracts conflict]
-
A.
partOfHistoricalConflict
chosen
Indicates that one entity participated in, belonged to, or was involved as a component of a larger historical conflict or war.
-
B.
hasHistoricalPeriodOfConflict
Indicates that there exists a specific historical period during which the related entities were engaged in conflict or hostilities.
-
C.
linkedToHistoricalConflict
Indicates that one entity has a documented association or connection with a past historical conflict involving another entity.
-
D.
militaryConflict
Indicates a relationship where two or more parties are engaged in organized, armed hostilities or warfare against each other.
-
E.
opponentInHistoricalConflict
Indicates that two entities stood on opposing sides in a specific historical conflict or war.
- 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_69eefad140408190b8586fdebcf9af46 |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: April 27, 2026, 9:29 a.m.