Triple
T16315576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree of Life – Or L'Simcha Congregation |
E396163
|
entity |
| Predicate | typeOf2018Attack |
P4333
|
FINISHED |
| Object | mass shooting |
—
|
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: mass shooting | Statement: [Tree of Life – Or L'Simcha Congregation, typeOf2018Attack, mass shooting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOf2018Attack Context triple: [Tree of Life – Or L'Simcha Congregation, typeOf2018Attack, mass shooting]
-
A.
attackType
chosen
Indicates the specific method, style, or category of attack used in an aggressive or hostile action between entities.
-
B.
typeOfVictimization
Indicates the specific kind or category of harmful act, abuse, or exploitation experienced by a victim.
-
C.
attackOccurred
Indicates that an act of aggression or violence was carried out by one party against another.
-
D.
oftenAttackedBy
Indicates that an entity is frequently the target of attacks carried out by another entity.
-
E.
wasAttackedInYear
Indicates that an entity was the target of an attack that occurred in the specified year.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e288de57cc81908cec93309347c385 |
completed | April 17, 2026, 7:24 p.m. |
| PD | Predicate disambiguation | batch_69e219fc72c881909d452274e7af8238 |
completed | April 17, 2026, 11:31 a.m. |
Created at: April 10, 2026, 5:06 a.m.