Triple

T1644191
Position Surface form Disambiguated ID Type / Status
Subject Umbria E35541 entity
Predicate containsCity P294 FINISHED
Object Gubbio E202591 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: Gubbio | Statement: [Umbria, containsCity, Gubbio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gubbio
Context triple: [Umbria, containsCity, Gubbio]
  • A. Gubbio chosen
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • B. Perugia
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • C. Città di Castello
    Città di Castello is a historic town in the Umbria region of central Italy, known for its medieval architecture, Renaissance art, and location along the upper Tiber River.
  • D. Macerata
    Macerata is a historic hilltop city in Italy’s Marche region, known for its Renaissance architecture and renowned open-air opera festival at the Sferisterio arena.
  • E. Orvieto
    Orvieto is a historic hilltop city in Umbria, Italy, renowned for its dramatic cliffside setting and magnificent Gothic cathedral.
  • 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_69a88604618c81908b41f6429c431eb6 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa622e9b08819094960b2329c6e7e6 completed March 6, 2026, 5:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69af6529905081909bd9e7c51fc21f77 completed March 10, 2026, 12:26 a.m.
Created at: March 4, 2026, 7:28 p.m.