Triple
T7373658
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Autonomous Region of Bougainville |
E170069
|
entity |
| Predicate | conflictDuration |
P28865
|
FINISHED |
| Object | late 1980s to late 1990s |
—
|
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: late 1980s to late 1990s | Statement: [Autonomous Region of Bougainville, conflictDuration, late 1980s to late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: conflictDuration Context triple: [Autonomous Region of Bougainville, conflictDuration, late 1980s to late 1990s]
-
A.
conflictPeriod
chosen
Indicates the time span during which a particular conflict or dispute is occurring or in effect between the related entities.
-
B.
conflictStartTime
Indicates the specific point in time at which a conflict between entities begins.
-
C.
ceasefireDuration
Indicates the length of time for which a ceasefire agreement between parties is intended to remain in effect.
-
D.
battleDuration
Indicates the length of time for which a particular battle or combat event lasts.
-
E.
conflictEndYear
Indicates the calendar year in which a particular conflict, dispute, or war came to an end.
- 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a50898819087097a64e09e19eb |
completed | March 27, 2026, 9:07 p.m. |
| PD | Predicate disambiguation | batch_69c6f02ee3e08190a7a00c981129b22c |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:07 p.m.