Triple
T16315571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tree of Life – Or L'Simcha Congregation |
E396163
|
entity |
| Predicate | victimGroupIn2018Attack |
P699
|
FINISHED |
| Object | Jewish worshippers |
—
|
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: Jewish worshippers | Statement: [Tree of Life – Or L'Simcha Congregation, victimGroupIn2018Attack, Jewish worshippers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: victimGroupIn2018Attack Context triple: [Tree of Life – Or L'Simcha Congregation, victimGroupIn2018Attack, Jewish worshippers]
-
A.
victimGroup
chosen
Indicates that one group or entity is the target or recipient of harm, abuse, or wrongdoing caused by another.
-
B.
victimGroupContext
Indicates the contextual circumstances or setting in which a victim group is targeted, affected, or involved in an event or action.
-
C.
victimGroupHelped
Indicates that assistance, support, or aid was provided to a group identified as victims.
-
D.
coVictim
Indicates that two or more entities are victims in the same harmful event or incident.
-
E.
allegedVictimOf
Indicates that one entity is claimed or reported to have been harmed, wronged, or victimized by another entity, without asserting that the claim is proven.
- 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.