Triple
T25160989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKI |
E626436
|
entity |
| Predicate | membersKilledDuring |
P63692
|
FINISHED |
| Object | 1965–1966 mass killings in Indonesia |
—
|
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: 1965–1966 mass killings in Indonesia | Statement: [PKI, membersKilledDuring, 1965–1966 mass killings in Indonesia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: membersKilledDuring Context triple: [PKI, membersKilledDuring, 1965–1966 mass killings in Indonesia]
-
A.
numberOfPerpetratorsKilled
Indicates the count of perpetrators who were killed in the context of the described event or incident.
-
B.
numberOfConfirmedKills
Indicates the total count of individuals that an entity is reported or confirmed to have killed.
-
C.
numberOfVictimsKilled
chosen
Indicates the count of victims who were killed as a result of the referenced event or action.
-
D.
killedInAttack
Indicates that an entity died as a direct result of a specific attack event.
-
E.
sonsKilledBy
Indicates that the referenced sons are those who were killed by the specified agent or entity.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f65aa07c048190a5df30d53d8f0cf5 |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f659cc571c819097e51e531961d812 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 18, 2026, 6:31 a.m.