Triple
T10139742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | County Donegal |
E226948
|
entity |
| Predicate | partiallyIrishSpeaking |
P39515
|
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: [County Donegal, partiallyIrishSpeaking, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partiallyIrishSpeaking Context triple: [County Donegal, partiallyIrishSpeaking, true]
-
A.
GoidelicNationsInclude
Indicates that a specified set or group of nations includes those belonging to the Goidelic (Gaelic-speaking) cultural-linguistic tradition.
-
B.
isSpokenAs
Indicates that one entity is used as the spoken or verbal form of another entity (e.g., a word, name, or phrase).
-
C.
hasBritishAccent
Indicates that the subject speaks with a British accent.
-
D.
hasHighProportionOfSpeakersOf
chosen
Indicates that a subject entity has a relatively large share of its population or members who speak a specified language.
-
E.
hasColloquialVariety
Indicates that one linguistic form, expression, or variety is an informal, colloquial counterpart or version of another.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde8851844819092330e74561b7e34 |
completed | April 2, 2026, 3:54 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba4f5d88190ba68e63be10b08c7 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:06 p.m.