Triple

T31203289
Position Surface form Disambiguated ID Type / Status
Subject Waterford Gaeltacht E795531 entity
Predicate hasDialectVariant P4251 FINISHED
Object Waterford Irish
Waterford Irish is a regional variety of the Irish language traditionally spoken in County Waterford, Ireland, reflecting the distinctive phonology and vocabulary of that area.
E1952054 NE FINISHED

How this triple was built (3 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: Waterford Irish | Statement: [Waterford Gaeltacht, hasDialectVariant, Waterford Irish]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Waterford Irish
Triple: [Waterford Gaeltacht, hasDialectVariant, Waterford Irish]
Generated description
Waterford Irish is a regional variety of the Irish language traditionally spoken in County Waterford, Ireland, reflecting the distinctive phonology and vocabulary of that area.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDialectVariant
Context triple: [Waterford Gaeltacht, hasDialectVariant, Waterford Irish]
  • A. hasDialectCounterpart
    Indicates that one linguistic form or expression has a corresponding equivalent in another dialect.
  • B. hasDialects chosen
    Indicates that an entity (typically a language) possesses one or more distinct dialectal varieties.
  • C. haveDialect
    Indicates that an entity uses, speaks, or is associated with a particular dialect or regional linguistic variety.
  • D. hasDialectsIn
    Indicates that a language or linguistic variety possesses distinct dialects that are used or found within a specified region or context.
  • E. hasDialectName
    Indicates that a language, dialect, or linguistic variety is associated with a specific dialectal name or label.
  • F. None of above.

Provenance (6 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_69f224d8c6608190b7882466521f62be completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fddf721c1481909301a0f379368f10 completed May 8, 2026, 1:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a295920b35c8190bc1b042ac5d8e611 completed June 10, 2026, 12:31 p.m.
NEDg Description generation batch_6a2959a8c0708190b8cf96f13be2bd37 completed June 10, 2026, 12:33 p.m.
NED2 Entity disambiguation (via description) batch_6a295d91f59c819096a9baa006e93830 completed June 10, 2026, 12:50 p.m.
PD Predicate disambiguation batch_69fddda1ae7c8190b5848ff9a9e39826 completed May 8, 2026, 12:57 p.m.
Created at: April 29, 2026, 9:09 p.m.