Triple
T8135584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Third Servile War |
E189960
|
entity |
| Predicate | numberCrucifiedEstimate |
P867
|
FINISHED |
| Object | 6000 |
—
|
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: 6000 | Statement: [Third Servile War, numberCrucifiedEstimate, 6000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberCrucifiedEstimate Context triple: [Third Servile War, numberCrucifiedEstimate, 6000]
-
A.
crucifiedOn
Indicates that one entity was executed by crucifixion upon or using another entity (typically a cross or similar structure).
-
B.
numberOfPeopleExecuted
chosen
Indicates the total count of individuals who were put to death, typically as a result of a formal execution process.
-
C.
numberOfTortureVictims
Indicates the quantity of individuals who have been subjected to torture.
-
D.
numberOfPeoplePressedToDeath
Indicates the number of people who were killed specifically by being pressed to death.
-
E.
numberOfStationsOfTheCross
Indicates the total count of Stations of the Cross associated with a given subject.
- 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_69ca82bcb4848190a9a9d036ad768642 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4c4c2e388190b86854f8b1765e61 |
completed | March 31, 2026, 4:23 a.m. |
| PD | Predicate disambiguation | batch_69cb3696379c8190a20965e59ed8f370 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:35 p.m.