Triple
T2625401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Wales |
E59105
|
entity |
| Predicate | officialLanguage |
P236
|
FINISHED |
| Object | Welsh |
E61316
|
NE 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: Welsh | Statement: [North Wales, officialLanguage, Welsh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Welsh Context triple: [North Wales, officialLanguage, Welsh]
-
A.
Welsh
chosen
Welsh is a Celtic language native to Wales, known for its rich literary tradition and status as one of the oldest living languages in Europe.
-
B.
Cornish
Cornish is a revived Southwestern Brittonic Celtic language historically spoken in Cornwall, England.
-
C.
Middle Welsh
Middle Welsh is the historical form of the Welsh language used roughly between the 12th and 14th centuries, known especially from medieval literature such as the Mabinogion.
-
D.
Ingiloys
Ingiloys are a small indigenous Georgian-speaking ethnic group traditionally inhabiting the Zakatala region of present-day Azerbaijan, known for their unique blend of Georgian and Azerbaijani cultural and religious influences.
-
E.
Jèrriais
Jèrriais is a Norman Romance language traditionally spoken on the island of Jersey in the Channel Islands.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ab4ac558388190962492cd2e1b0ce6 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abd8b061a08190b7a8459851abaae2 |
completed | March 7, 2026, 7:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af909e02d0819082377681f4376531 |
completed | March 10, 2026, 3:31 a.m. |
Created at: March 6, 2026, 9:50 p.m.