Triple
T7819482
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caernarfon, Gwynedd |
E181091
|
entity |
| Predicate | hasHighWelshSpeakingPopulation |
P38154
|
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: [Caernarfon, Gwynedd, hasHighWelshSpeakingPopulation, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighWelshSpeakingPopulation Context triple: [Caernarfon, Gwynedd, hasHighWelshSpeakingPopulation, true]
-
A.
hasHighProportionOfWelshSpeakers
chosen
Indicates that a place or population has a relatively large share of individuals who speak the Welsh language.
-
B.
hasHighProportionOfSpeakersOf
Indicates that a subject entity has a relatively large share of its population or members who speak a specified language.
-
C.
welshAssemblyConstituency
Indicates that an entity is a constituency represented in the Welsh Parliament (formerly the National Assembly for Wales).
-
D.
hasLanguageInhabitants
Indicates that a particular language is spoken or used by the inhabitants of a specified place or region.
-
E.
GoidelicNationsInclude
Indicates that a specified set or group of nations includes those belonging to the Goidelic (Gaelic-speaking) cultural-linguistic tradition.
- 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_69ca828153f48190bdb27ac46f8e0745 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf97247c481908b18287eb7ee0a53 |
completed | March 30, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
Created at: March 30, 2026, 4:40 p.m.