Triple
T23722558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sant’Anna di Stazzema |
E586182
|
entity |
| Predicate | massacreVictimsNumberApprox |
P141262
|
FINISHED |
| Object | 560 |
—
|
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: 560 | Statement: [Sant’Anna di Stazzema, massacreVictimsNumberApprox, 560]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massacreVictimsNumberApprox Context triple: [Sant’Anna di Stazzema, massacreVictimsNumberApprox, 560]
-
A.
massacreCasualtiesEstimate
chosen
Indicates an estimated number of people who were killed or injured as a result of a massacre.
-
B.
massacreDateApprox
Indicates an approximate or uncertain date on which a massacre occurred.
-
C.
massacreOccurred
Indicates that a large-scale, deliberate killing of multiple individuals took place in a specific event or context.
-
D.
massacreAlsoKnownAs
Indicates that a particular massacre is known or referred to by an alternative name or names.
-
E.
numberOfVictimsInMassGraves
Indicates the count of individuals who were killed and buried together in mass graves associated with a particular event or context.
- 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_69e24906fb108190a6898751e46bdc11 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b912a7548190afcfa03dd9adc47e |
completed | April 29, 2026, 7:53 a.m. |
| PD | Predicate disambiguation | batch_69f155e4b1148190836ede4741dcb888 |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:04 p.m.