Triple
T9273322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Coiste Téarmaíochta |
E222882
|
entity |
| Predicate | roleInLanguagePolicy |
P33765
|
FINISHED |
| Object | supporting official status of Irish through terminology |
—
|
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: supporting official status of Irish through terminology | Statement: [An Coiste Téarmaíochta, roleInLanguagePolicy, supporting official status of Irish through terminology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInLanguagePolicy Context triple: [An Coiste Téarmaíochta, roleInLanguagePolicy, supporting official status of Irish through terminology]
-
A.
languagePolicyType
Indicates the specific category or type of language policy that governs how languages are used, managed, or regulated in a given context.
-
B.
languagePolicyRegion
Indicates that a particular language policy applies within, or is associated with, a specific geographic or administrative region.
-
C.
eligibleLanguage
Indicates that a particular language satisfies the required conditions to be considered valid or allowed in a given context.
-
D.
languageStandardizationRole
chosen
Indicates the role an entity plays in establishing, maintaining, or influencing the standardization of a language.
-
E.
languageOfRegistrationPolicies
Indicates the language in which the registration policies are written or officially specified.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0788e87c81909ccda40d94cc6705 |
completed | April 1, 2026, 11:54 a.m. |
| PD | Predicate disambiguation | batch_69cc7a537bbc8190baee71f556e52a7b |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:33 p.m.