Triple
T872078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Birmingham pub bombings |
E18834
|
entity |
| Predicate | typeOfTerrorism |
P21104
|
FINISHED |
| Object | Irish republican terrorism |
—
|
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: Irish republican terrorism | Statement: [Birmingham pub bombings, typeOfTerrorism, Irish republican terrorism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfTerrorism Context triple: [Birmingham pub bombings, typeOfTerrorism, Irish republican terrorism]
-
A.
ideologyOfInsurgents
Indicates the guiding beliefs, values, or political doctrine held by insurgent groups that shape their goals and actions.
-
B.
typeOfSanction
Indicates the specific category or kind of sanction that is applied in a given situation.
-
C.
conflictType
Indicates the specific kind or category of conflict that characterizes the relationship or interaction between entities.
-
D.
warfareType
Indicates the specific kind or category of warfare that characterizes a given conflict or military engagement.
-
E.
typeOfDefense
Indicates the specific kind or category of defense employed or possessed in a given context.
- 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_69a4938db1f081909bcd1ad2713b6096 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac96850881908a2d776685126137 |
completed | March 1, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69a4aa8b9b5c81909ac71904f8b8b5cd |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4abb157d08190a7d7281eb3f1b788 |
completed | March 1, 2026, 9:12 p.m. |
Created at: March 1, 2026, 7:39 p.m.