Triple
T27022868
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KNU |
E680710
|
entity |
| Predicate | insurgencyDuration |
P161777
|
FINISHED |
| Object | one of the world’s longest-running insurgencies |
—
|
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: one of the world’s longest-running insurgencies | Statement: [KNU, insurgencyDuration, one of the world’s longest-running insurgencies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: insurgencyDuration Context triple: [KNU, insurgencyDuration, one of the world’s longest-running insurgencies]
-
A.
endedInsurgencyType
Indicates the specific manner or category of outcome by which an insurgency was brought to an end.
-
B.
ceasefireDuration
Indicates the length of time for which a ceasefire agreement between parties is intended to remain in effect.
-
C.
timeSinceStartOfWar
Indicates the amount of time that has elapsed since the war began.
-
D.
siegeDuration
Indicates the length of time that a siege persists from its beginning to its end.
-
E.
battleDuration
Indicates the length of time for which a particular battle or combat event lasts.
- F. None of above. chosen
Provenance (4 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_69eeeb5450988190bfc9a3c012ac463a |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6222ec35c819086b41052677212e1 |
completed | May 2, 2026, 4:11 p.m. |
| PD | Predicate disambiguation | batch_69f61b3ee7b08190a0a1bc5d26b757aa |
completed | May 2, 2026, 3:41 p.m. |
| PDg | Predicate description generation | batch_69f61f109ef48190873bfe18638d2046 |
completed | May 2, 2026, 3:58 p.m. |
Created at: April 27, 2026, 7:09 a.m.