Triple

T9900974
Position Surface form Disambiguated ID Type / Status
Subject Colle di Tenda E182280 entity
Predicate locatedNear P294 FINISHED
Object Tende E177641 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: Tende | Statement: [Colle di Tenda, locatedNear, Tende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tende
Context triple: [Colle di Tenda, locatedNear, Tende]
  • A. Tende chosen
    Tende is a historic mountain village in southeastern France’s Alpes-Maritimes, near the Italian border, known for its alpine scenery and medieval architecture.
  • B. Tariano
    Tariano is an indigenous Arawakan language spoken by the Tariana people of the northwest Amazon region in Brazil.
  • C. Benassi
    Benassi is an Italian surname most prominently associated with DJ and record producer Benny Benassi, known for his influential work in electronic dance music.
  • D. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • E. Reggiolo
    Reggiolo is a small town in the Emilia-Romagna region of northern Italy, known as the birthplace of renowned football manager Carlo Ancelotti.
  • 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_69ca82876f8081909cf75df0f99bb13f completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cdb4e221448190b536742d1269f9d7 completed April 2, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1eb2125208190b4cf549d67d1ca42 completed April 5, 2026, 4:54 a.m.
Created at: March 30, 2026, 8:40 p.m.