Triple

T20380257
Position Surface form Disambiguated ID Type / Status
Subject Pellice E497805 entity
Predicate flowsNear P350 FINISHED
Object Torre Pellice 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: Torre Pellice | Statement: [Pellice, flowsNear, Torre Pellice]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Torre Pellice
Context triple: [Pellice, flowsNear, Torre Pellice]
  • A. Torre Pellice chosen
    Torre Pellice is a small town in the Piedmont region of northwestern Italy, known as a historic center of the Waldensian Protestant movement.
  • B. Torre Apponale
    Torre Apponale is a historic medieval clock tower and prominent symbol of Riva del Garda on the northern shore of Lake Garda in Italy.
  • C. Torre di Mezzo
    Torre di Mezzo is one of the defensive towers that form part of the medieval Maschio Angioino (Castel Nuovo) fortress in Naples, Italy.
  • D. Torre Mozza
    Torre Mozza is a historic tower and notable architectural landmark located in the Italian city of Rovigo.
  • E. Torre Branca
    Torre Branca is a modernist steel observation tower in Milan, Italy, offering panoramic views of the city skyline.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678b026e081909541e545886c8380 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.