Triple
T548326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wales Millennium Centre |
E12780
|
entity |
| Predicate | façadeInscriptionTextWelsh |
P15580
|
FINISHED |
| Object | Creu Gwir fel gwydr o ffwrnais awen |
—
|
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: Creu Gwir fel gwydr o ffwrnais awen | Statement: [Wales Millennium Centre, façadeInscriptionTextWelsh, Creu Gwir fel gwydr o ffwrnais awen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: façadeInscriptionTextWelsh Context triple: [Wales Millennium Centre, façadeInscriptionTextWelsh, Creu Gwir fel gwydr o ffwrnais awen]
-
A.
nameInWelsh
Indicates that one entity is the Welsh-language name or designation of another entity.
-
B.
bellInscriptionLanguage
Indicates the language in which the inscription on a bell is written.
-
C.
nameInBreton
Indicates that an entity has a specific name or label when expressed in the Breton language.
-
D.
GaelicName
Indicates that an entity has a name expressed in the Gaelic language.
-
E.
inscriptionTranslation
Indicates that a provided text expresses the translated content of a specific inscription.
- F. None of above. chosen
Provenance (4 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49900895c819092a131c185a758bf |
completed | March 1, 2026, 7:52 p.m. |
| PD | Predicate disambiguation | batch_69a494b957988190bc269e372df2f0b2 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49858abd48190bd4b002a93e4a908 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.