Triple
T7818965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ceann Comhairle |
E181080
|
entity |
| Predicate | termRelation |
P34778
|
FINISHED |
| Object | normally serves for the life of a Dáil |
—
|
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: normally serves for the life of a Dáil | Statement: [Ceann Comhairle, termRelation, normally serves for the life of a Dáil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termRelation Context triple: [Ceann Comhairle, termRelation, normally serves for the life of a Dáil]
-
A.
termRelationTo
chosen
Indicates a general relational association between one term and another, without specifying the exact nature of that relationship.
-
B.
semanticRelation
Indicates a general meaning-based connection between two entities, such as similarity, implication, or conceptual association.
-
C.
titleRelation
Indicates a relationship where one entity serves as the title, designation, or formal name associated with another entity.
-
D.
ridgeRelation
Indicates a relationship in which one entity is a ridge or forms a ridge-like structural feature relative to another entity.
-
E.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf97247c481908b18287eb7ee0a53 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:40 p.m.