Triple
T15962627
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2015 Bardo National Museum attack |
E387098
|
entity |
| Predicate | killedPerpetrators |
P70968
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [2015 Bardo National Museum attack, killedPerpetrators, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedPerpetrators Context triple: [2015 Bardo National Museum attack, killedPerpetrators, 2]
-
A.
perpetratorOfKilling
Indicates that an entity is the one who carried out or caused a particular killing.
-
B.
massacrePerpetrators
Indicates that the subject is responsible for carrying out or participating in a massacre against the object.
-
C.
numberOfPerpetratorsKilled
chosen
Indicates the count of perpetrators who were killed in the context of the described event or incident.
-
D.
allegedToHaveKilled
Indicates that one entity is claimed or accused, but not proven, to have killed another entity.
-
E.
childrenKilledBy
Indicates that the children of a given entity were killed by another specified entity or agent.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e173b3bf6c81909230170e833d7ce7 |
completed | April 16, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69e142d6fb588190b4176eab4bbae774 |
completed | April 16, 2026, 8:13 p.m. |
Created at: April 10, 2026, 4:53 a.m.