Triple
T32845310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black September |
E840082
|
entity |
| Predicate | perpetratorCountInMunichAttack |
P36179
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [Black September, perpetratorCountInMunichAttack, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorCountInMunichAttack Context triple: [Black September, perpetratorCountInMunichAttack, 8]
-
A.
numberOfPerpetrators
chosen
Indicates the count of distinct individuals who carried out or participated in a particular act, event, or offense.
-
B.
numberOfPerpetratorsKilled
Indicates the count of perpetrators who were killed in the context of the described event or incident.
-
C.
numberOfVictimsTargeted
Indicates the quantity of victims that were intended or selected as targets in the referenced act or event.
-
D.
MunichMassacreVictims
Indicates that the entities are victims of the Munich massacre attack.
-
E.
numberOfCoPerpetrators
Indicates the quantity of additional perpetrators who jointly participated in committing the same act or offense.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:16 a.m.