Triple
T1673640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malayan National Liberation Army |
E36180
|
entity |
| Predicate | usedWarfareStyle |
P709
|
FINISHED |
| Object | guerrilla warfare |
—
|
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: guerrilla warfare | Statement: [Malayan National Liberation Army, usedWarfareStyle, guerrilla warfare]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedWarfareStyle Context triple: [Malayan National Liberation Army, usedWarfareStyle, guerrilla warfare]
-
A.
usedWarfareType
chosen
Indicates the specific type or method of warfare that an entity employed in a conflict or military context.
-
B.
usedWeapon
Indicates that an entity employed a specific weapon as the means or tool to carry out an action or event.
-
C.
weaponDiscipline
Indicates that an entity practices, adheres to, or is governed by a particular system, style, or code of weapon use or combat training.
-
D.
usedAfterWar
Indicates that an entity came into use only after a specific war or conflict had ended.
-
E.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
- 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_69a8861286808190939afff3ce8ee31e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69ab272a653481908f48aa1eed5de8a4 |
completed | March 6, 2026, 7:12 p.m. |
| PD | Predicate disambiguation | batch_69aa61b2f6288190b2348ef7d7e4672d |
completed | March 6, 2026, 5:10 a.m. |
Created at: March 4, 2026, 7:29 p.m.