Triple
T31203288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waterford Gaeltacht |
E795531
|
entity |
| Predicate | hasMainDialect |
P198390
|
FINISHED |
| Object | Munster Irish |
—
|
NE NERFINISHED |
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: Munster Irish | Statement: [Waterford Gaeltacht, hasMainDialect, Munster Irish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMainDialect Context triple: [Waterford Gaeltacht, hasMainDialect, Munster Irish]
-
A.
hasDialects
Indicates that an entity (typically a language) possesses one or more distinct dialectal varieties.
-
B.
hasParticularDialect
chosen
Indicates that an entity uses, is associated with, or is characterized by a specific dialect of a language.
-
C.
hasDialectsIn
Indicates that a language or linguistic variety possesses distinct dialects that are used or found within a specified region or context.
-
D.
hasMajorDialectGroup
Indicates that an entity (typically a language) is associated with a primary or major dialect group to which it belongs.
-
E.
hasDialectCounterpart
Indicates that one linguistic form or expression has a corresponding equivalent in another dialect.
- 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_69f224d8c6608190b7882466521f62be |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00037bf4148190a58593d30efdd3f8 |
completed | May 10, 2026, 4:03 a.m. |
| PD | Predicate disambiguation | batch_6a0000b7af608190b718fc4111bcdad8 |
completed | May 10, 2026, 3:51 a.m. |
Created at: April 29, 2026, 9:09 p.m.