Triple
T19489838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shankill Road bombing |
E487617
|
entity |
| Predicate | perpetratorMotive |
P65261
|
FINISHED |
| Object | attempt to assassinate UDA leadership |
—
|
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: attempt to assassinate UDA leadership | Statement: [Shankill Road bombing, perpetratorMotive, attempt to assassinate UDA leadership]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: perpetratorMotive Context triple: [Shankill Road bombing, perpetratorMotive, attempt to assassinate UDA leadership]
-
A.
hasMotiveOfCriminals
chosen
Indicates that the specified motive is attributed to or associated with the criminals in question.
-
B.
reasonForMurder
Indicates the motive or underlying cause that led someone to commit a murder.
-
C.
perpetratorType
Indicates the classification or category of the entity that carried out or is responsible for a harmful, illegal, or otherwise wrongful act.
-
D.
causeStatedByPerpetrators
Indicates that the stated cause or reason for an event or action is the one explicitly given by the perpetrators themselves.
-
E.
perpetratorDescription
Indicates that the subject provides a textual description or characterization of the perpetrator involved in an act or incident.
- 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e6348ad4088190b530f47efca90165 |
completed | April 20, 2026, 2:13 p.m. |
| PD | Predicate disambiguation | batch_69e4fd7883308190b73912a71a35a835 |
completed | April 19, 2026, 4:06 p.m. |
Created at: April 10, 2026, 1:39 p.m.