Triple
T18817872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Niemba ambush |
E460184
|
entity |
| Predicate | combatantNationality |
P71123
|
FINISHED |
| Object | Irish |
—
|
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 | Statement: [Niemba ambush, combatantNationality, Irish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: combatantNationality Context triple: [Niemba ambush, combatantNationality, Irish]
-
A.
combatantsNationality
chosen
Indicates that the entities involved in a combat or conflict share or are associated with a specified nationality.
-
B.
countryOfAllegiance
Indicates the country to which an entity owes loyalty, support, or official allegiance.
-
C.
nationalityOfPersonnel
Indicates the country or countries to which the personnel involved in an activity, organization, or context belong by citizenship or national affiliation.
-
D.
targetNationality
Indicates that one entity has the specified nationality as its intended or designated target.
-
E.
enemyNation
Indicates that one nation is considered a hostile or adversarial state in relation to another nation.
- 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_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. |
Created at: April 10, 2026, 11:55 a.m.