Triple

T7515838
Position Surface form Disambiguated ID Type / Status
Subject Tenda road tunnel E177640 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: [Tenda road tunnel, locatedNear, Tende]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tende
Context triple: [Tenda road tunnel, 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. Miglieglia
    Miglieglia is a small municipality in the canton of Ticino in southern Switzerland, located in the Malcantone region near the Italian border.
  • D. Reggiolo
    Reggiolo is a small town in the Emilia-Romagna region of northern Italy, known as the birthplace of renowned football manager Carlo Ancelotti.
  • E. Prati
    Prati is an elegant central district of Rome known for its wide boulevards, upscale shops, and proximity to the Vatican and major judicial buildings.
  • 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_69c69f2891148190a484f3b8222c6f1b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5f595148190b36649b0095bb898 completed March 27, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8461d4dbc8190b921666fa3524921 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.