Triple
T12097828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moai statues |
E288114
|
entity |
| Predicate | causeOfToppling |
P32407
|
FINISHED |
| Object | intertribal conflict |
—
|
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: intertribal conflict | Statement: [Moai statues, causeOfToppling, intertribal conflict]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: causeOfToppling Context triple: [Moai statues, causeOfToppling, intertribal conflict]
-
A.
causeOfDownfall
Indicates a factor, event, or agent that brings about the failure, ruin, or collapse of someone or something.
-
B.
hasCauseOfDestruction
Indicates that one entity is the cause or agent responsible for the destruction or damage of another entity.
-
C.
fallCause
chosen
Indicates that one event or condition causes or brings about another event of falling or decline.
-
D.
causeOfDisaster
Indicates that the subject is responsible for bringing about or triggering the specified disaster.
-
E.
reasonForDemise
Indicates the cause, circumstance, or factor that led to an entity’s death or termination.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.