Triple
T20172996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miqui |
E492014
|
entity |
| Predicate | usedInLanguage |
P907
|
FINISHED |
| Object | Catalan |
—
|
NE NERFINISHED |
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: Catalan | Statement: [Miqui, usedInLanguage, Catalan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catalan Context triple: [Miqui, usedInLanguage, Catalan]
-
A.
Catalan
chosen
Catalan is a Romance language spoken primarily in Catalonia, Valencia, the Balearic Islands, and parts of eastern Spain and southern France.
-
B.
Catalão
Catalão is a municipality in the southeastern part of the Brazilian state of Goiás, known for its agriculture, mining activities, and growing industrial sector.
-
C.
Catalan Wikipedia
Catalan Wikipedia is the Catalan-language edition of the free, collaboratively edited online encyclopedia Wikipedia.
-
D.
Valencian Spanish
Valencian Spanish is a regional variety of Spanish spoken in the Valencian Community in eastern Spain, characterized by influences from both standard Spanish and the local Valencian (Catalan) language.
-
E.
Catalan Wikisource
Catalan Wikisource is the Catalan-language edition of Wikisource, a free online digital library of public domain and freely licensed texts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66849709c81909b65b421282f9f3b |
completed | April 20, 2026, 5:54 p.m. |
Created at: April 11, 2026, 11:35 p.m.