Triple
T27231726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Óglaigh na hÉireann |
E682171
|
entity |
| Predicate | civilianMinisterTitle |
P7410
|
FINISHED |
| Object | Minister for Defence |
—
|
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: Minister for Defence | Statement: [Óglaigh na hÉireann, civilianMinisterTitle, Minister for Defence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianMinisterTitle Context triple: [Óglaigh na hÉireann, civilianMinisterTitle, Minister for Defence]
-
A.
hasMinisterTitle
chosen
Indicates that an entity holds or is associated with a specific ministerial title or office.
-
B.
civilianLeaderTitle
Indicates the official title held by a person who serves as the civilian leader of a group, organization, or jurisdiction.
-
C.
typeOfMinister
Indicates the specific governmental or religious office or role that a particular minister holds.
-
D.
politicalChiefTitle
Indicates the official title held by the leading political authority of a given entity or jurisdiction.
-
E.
notableOfficerTitle
Indicates that an entity holds or is associated with a particularly distinguished or noteworthy officer position or title.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f6264ec31081908b14cbdbc604d437 |
completed | May 2, 2026, 4:29 p.m. |
| PD | Predicate disambiguation | batch_69f620e38aec8190bb184edcdbd6da64 |
completed | May 2, 2026, 4:05 p.m. |
Created at: April 27, 2026, 9:46 a.m.