Triple

T5882483
Position Surface form Disambiguated ID Type / Status
Subject Anpezan E130780 entity
Predicate closelyRelatedTo P37 FINISHED
Object Gherdëina Ladin E161035 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: Gherdëina Ladin | Statement: [Anpezan, closelyRelatedTo, Gherdëina Ladin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gherdëina Ladin
Context triple: [Anpezan, closelyRelatedTo, Gherdëina Ladin]
  • A. Ladin language
    Ladin language is a Rhaeto-Romance language spoken primarily in the Dolomite mountain region of northern Italy.
  • B. Valtellinese
    Valtellinese is a regional variety of the Lombard language spoken in the Valtellina valley of northern Italy.
  • C. Gherdëina chosen
    Gherdëina is a Ladin dialect spoken in the Val Gardena region of the Dolomites in northern Italy.
  • D. Romansh language
    Romansh is a minority Romance language spoken primarily in the Swiss canton of Graubünden, known for its several distinct regional varieties and official status alongside German, French, and Italian in Switzerland.
  • E. Brunico
    Brunico is a historic town and popular tourist center in northern Italy’s Alps, known for its medieval old town, castle, and proximity to the Dolomites.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03673ecd88190978993056b675259 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13330c88190b10f33843f10f51f completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:57 p.m.