Triple
T12936503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Welsh |
E309522
|
entity |
| Predicate | languageOfTraditions |
P68017
|
FINISHED |
| Object | Welsh |
—
|
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: Welsh | Statement: [Royal Welsh, languageOfTraditions, Welsh]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfTraditions Context triple: [Royal Welsh, languageOfTraditions, Welsh]
-
A.
languageTraditions
chosen
Indicates that there is a relationship between entities involving the customs, practices, and conventions associated with the use, preservation, or transmission of a particular language.
-
B.
culturalTradition
Indicates a relationship where certain practices, beliefs, or customs are recognized as part of a shared cultural heritage passed down within a group or society.
-
C.
cultOrTradition
Indicates that one entity is a cult or tradition associated with, practiced by, or characterizing another entity.
-
D.
variantTraditions
Indicates that there exist differing or alternative traditions or customary practices associated with the same subject or context.
-
E.
languageFamilyTraditional
Indicates that one entity belongs to, or is classified under, the traditional language family of the other entity.
- 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_69d7bdfa933c8190b5a27aa4a08a19b7 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69d97db69f548190a1a693bc0d6c191a |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 5:43 p.m.