Triple
T16559514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bud Dajo massacre |
E402297
|
entity |
| Predicate | combatantDeaths |
P82956
|
FINISHED |
| Object | mostly Moro villagers |
—
|
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: mostly Moro villagers | Statement: [Bud Dajo massacre, combatantDeaths, mostly Moro villagers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantDeaths Context triple: [Bud Dajo massacre, combatantDeaths, mostly Moro villagers]
-
A.
conflictOfDeath
Indicates a relationship where a death occurs as a result of, or in the context of, an armed conflict or war.
-
B.
nativeCasualties
Indicates that native or indigenous people suffered deaths or injuries as a result of a particular event, action, or conflict.
-
C.
casualties
Indicates that an event, action, or situation resulted in people being killed or injured.
-
D.
diedInConflict
Indicates that an entity lost their life as a direct result of a specific conflict or war.
-
E.
militaryCasualtiesSide
chosen
Indicates the side or party in a conflict to which the recorded military casualties belong.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576cceb881908579b56d91b15dec |
completed | April 18, 2026, 10:05 a.m. |
| PD | Predicate disambiguation | batch_69e296a47b7481909d9958158510c806 |
completed | April 17, 2026, 8:23 p.m. |
Created at: April 10, 2026, 5:15 a.m.