Triple
T31625209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Príomh-Aire agus leas-Phríomh-Aire Thuaisceart Éireann |
E807002
|
entity |
| Predicate | requiresBothOfficesToFunction |
P86596
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Príomh-Aire agus leas-Phríomh-Aire Thuaisceart Éireann, requiresBothOfficesToFunction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: requiresBothOfficesToFunction Context triple: [Príomh-Aire agus leas-Phríomh-Aire Thuaisceart Éireann, requiresBothOfficesToFunction, true]
-
A.
requiresConcurrentOffice
chosen
Indicates that one entity’s validity, operation, or status depends on another entity holding a specific office or position at the same time.
-
B.
hasSupportingOffice
Indicates that an entity is associated with or served by a particular office that provides support or administrative services to it.
-
C.
includedOffice
Indicates that one office is contained within, or forms part of, another office or organizational unit.
-
D.
hasOfficeCluster
Indicates that an entity is associated with or belongs to a specific group or cluster of office locations.
-
E.
establishedOffice
Indicates that an entity created or set up an official office or place of operation.
- 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_69f348d7883c8190b6c13ab92b7ef076 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fea1f5d8c481908dc3351dc9ecef7f |
completed | May 9, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69fea06b6fe0819095bf4c1bc9809927 |
completed | May 9, 2026, 2:48 a.m. |
Created at: April 30, 2026, 10:42 p.m.