Triple
T18817876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niemba ambush |
E460184
|
entity |
| Predicate | roleOfIrishForces |
P133537
|
FINISHED |
| Object | UN peacekeeping and patrol duties |
—
|
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: UN peacekeeping and patrol duties | Statement: [Niemba ambush, roleOfIrishForces, UN peacekeeping and patrol duties]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfIrishForces Context triple: [Niemba ambush, roleOfIrishForces, UN peacekeeping and patrol duties]
-
A.
IrishTroopStrength
Indicates the number or level of military forces associated with Ireland in a given context.
-
B.
roleInIreland
Indicates that an entity holds or has held a specific role, position, or function within the context of Ireland.
-
C.
isPrimaryIrishInfantryUnitOf
Indicates that one entity is the main or principal Irish infantry unit associated with another entity (such as a formation, operation, or organization).
-
D.
IrishVolunteersStrength
Indicates the number or level of manpower associated with the Irish Volunteers.
-
E.
BritishForceRole
Indicates that an entity serves in a specific role or capacity within a British military or armed forces 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a6b7e75c81909bc65cfc61cbe1c6 |
completed | April 20, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e49a9bcc0c81908df3e513fd6762ff |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 11:55 a.m.