Triple
T19489839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shankill Road bombing |
E487617
|
entity |
| Predicate | civilianStatusOfVictims |
P36783
|
FINISHED |
| Object | mostly Protestant civilians |
—
|
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: mostly Protestant civilians | Statement: [Shankill Road bombing, civilianStatusOfVictims, mostly Protestant civilians]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianStatusOfVictims Context triple: [Shankill Road bombing, civilianStatusOfVictims, mostly Protestant civilians]
-
A.
legalStatusOfVictims
Indicates the legal classification or condition of the victims in relation to the event or action described.
-
B.
mainVictims
chosen
Indicates that the related entities are the primary or principal targets harmed or affected by an action, event, or perpetrator.
-
C.
civilianDisplacement
Indicates the forced or compelled movement of civilian populations from their homes or usual places of residence, typically due to conflict, violence, or persecution.
-
D.
notableVictims
Indicates that the object is a person or group who is especially well-known or significant as a victim of the subject.
-
E.
languageOfVictims
Indicates the language or languages spoken or used by the victims involved in an event or situation.
- 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.