Triple
T15519855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Callainn |
E368931
|
entity |
| Predicate | hasOfficialContext |
P59213
|
FINISHED |
| Object | Irish-language signage in Ireland |
—
|
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-language signage in Ireland | Statement: [Callainn, hasOfficialContext, Irish-language signage in Ireland]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOfficialContext Context triple: [Callainn, hasOfficialContext, Irish-language signage in Ireland]
-
A.
hasOfficial
Indicates that an entity is formally associated with, represented by, or served by a designated official or office-holder.
-
B.
hasCanonicalContext
chosen
Indicates that something is associated with its primary, standard, or officially recognized contextual setting or framework.
-
C.
hasOfficialUse
Indicates that something is used in an authorized or formally recognized capacity, typically by an official body or for official purposes.
-
D.
hasLanguageContext
Indicates that an entity is associated with or interpreted within a specific language or linguistic context.
-
E.
hasJurisdictionContext
Indicates that a particular legal or regulatory authority, scope, or domain applies to or governs the referenced relationship or action.
- 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_69d85a1794cc8190b0b428716296e63e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e040343d9c8190a7d1f197c108bd9d |
completed | April 16, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69ded2896a9c8190a8b9627deb3c17b4 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 4:04 a.m.