Triple

T16539574
Position Surface form Disambiguated ID Type / Status
Subject Roya valley E401784 entity
Predicate hasVillage P4011 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: [Roya valley, hasVillage, Tende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tende
Context triple: [Roya valley, hasVillage, 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. Dosso
    Dosso is a key town in southwestern Niger that serves as an important regional and transportation hub.
  • E. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • 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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455bd43c8190b01560d4af55a9e0 completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ae169c81909a123b7dfe3fd906 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.