Triple
T7207547
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | École Polytechnique massacre |
E148704
|
entity |
| Predicate | perpetratorDiedAtScene |
P75826
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [École Polytechnique massacre, perpetratorDiedAtScene, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorDiedAtScene Context triple: [École Polytechnique massacre, perpetratorDiedAtScene, true]
-
A.
placeOfKilling
Indicates the location where a killing event took place.
-
B.
perpetratorOfKilling
Indicates that an entity is the one who carried out or caused a particular killing.
-
C.
placeOfExecution
Indicates the location where an execution or carrying out of a sentence, order, or legal punishment took place.
-
D.
diedInCustodyOf
Indicates that an individual died while under the control, supervision, or physical custody of a specified authority or entity.
-
E.
placeOfDeath
Indicates the location where an entity (typically a person or animal) died.
- F. None of above. chosen
Provenance (4 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_69c687e8cf188190b5f3ecffd681f04e |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6e969c5fc819096bc03bfba12d0cf |
completed | March 27, 2026, 8:32 p.m. |
| PD | Predicate disambiguation | batch_69c6e757fed4819091b0a096e3befc3a |
completed | March 27, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69c6e8fd9b848190b2b1beea5698422b |
completed | March 27, 2026, 8:30 p.m. |
Created at: March 27, 2026, 2:52 p.m.