Triple
T4524947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1st Battalion, Parachute Regiment |
E103353
|
entity |
| Predicate | associatedConflictImpact |
P57235
|
FINISHED |
| Object | political repercussions of Bloody Sunday |
—
|
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: political repercussions of Bloody Sunday | Statement: [1st Battalion, Parachute Regiment, associatedConflictImpact, political repercussions of Bloody Sunday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedConflictImpact Context triple: [1st Battalion, Parachute Regiment, associatedConflictImpact, political repercussions of Bloody Sunday]
-
A.
reportedConflict
Indicates that one party has formally reported the existence of a conflict involving another party or situation.
-
B.
affectedCompany
Indicates that a company is impacted or influenced by a particular event, action, or entity.
-
C.
addressedConflictWith
Indicates that one entity has taken action to confront, manage, or resolve a conflict involving another entity.
-
D.
hasConflictRelatedDamage
Indicates that an entity has incurred damage that is directly related to, or caused by, a conflict or conflict-related event.
-
E.
mainConflict
Indicates the primary opposing force, problem, or struggle that drives tension and narrative progression between entities or sides.
- 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_69bd43dba59881908cf59b31df8c7ae1 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd577490f48190ac1fb3cbf3d8a41e |
completed | March 20, 2026, 2:19 p.m. |
| PD | Predicate disambiguation | batch_69bd521cf77c819083852de3094d1377 |
completed | March 20, 2026, 1:56 p.m. |
| PDg | Predicate description generation | batch_69bd56b3e4c88190a7ade3d0ed0ab606 |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:03 p.m.