Triple
T37262244
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batavia shipwreck |
E924285
|
entity |
| Predicate | numberOfPeopleKilledInMassacre |
—
|
GENERATED |
| Object | over 100 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPeopleKilledInMassacre Context triple: [Batavia shipwreck, numberOfPeopleKilledInMassacre, over 100]
-
A.
massacreCasualtiesEstimate
chosen
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
B.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
C.
massacreOccurredIn
Indicates that a massacre took place within the specified location or area.
-
D.
massacreAlsoKnownAs
Indicates that a particular massacre is known or referred to by an alternative name or names.
-
E.
massacreVictimsIncluded
Indicates that the set of victims in a massacre included the specified entities or group.
- F. None of above.
Provenance (1 batch)
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_69f76eabd6c481909d414a80a1345c98 |
completed | May 3, 2026, 3:50 p.m. |
Created at: May 3, 2026, 4:15 p.m.