Triple

T15068401
Position Surface form Disambiguated ID Type / Status
Subject Torgiano E379812 entity
Predicate locatedNear P294 FINISHED
Object Perugia E146454 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: Perugia | Statement: [Torgiano, locatedNear, Perugia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Perugia
Context triple: [Torgiano, locatedNear, Perugia]
  • A. Perugia chosen
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • B. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • C. Città della Pieve
    Città della Pieve is a historic hilltop town in Umbria, central Italy, known for its medieval architecture and artworks by the Renaissance painter Perugino.
  • D. Urbino
    Urbino is a historic hill town in Italy’s Marche region, renowned as a Renaissance cultural center and the birthplace of Raphael.
  • E. Arezzo
    Arezzo is an ancient Tuscan city in central Italy, historically significant as one of the principal centers of the Etruscan civilization and later a prominent medieval and Renaissance town.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dedeebc7e48190a86b4f0afe8844bb completed April 15, 2026, 12:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff45406c8c8190beb87d4bb5c50355 completed May 9, 2026, 2:31 p.m.
Created at: April 10, 2026, 3:02 a.m.