Triple

T16914613
Position Surface form Disambiguated ID Type / Status
Subject Etruscan League E410289 entity
Predicate member P10 FINISHED
Object Arezzo 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: Arezzo | Statement: [Etruscan League, member, Arezzo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arezzo
Context triple: [Etruscan League, member, Arezzo]
  • A. Arezzo chosen
    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.
  • B. Montevarchi
    Montevarchi is a Tuscan town in central Italy known for its historic center, proximity to the Arno River, and role as a commercial and cultural hub in the Valdarno area.
  • C. Grosseto
    Grosseto is a Tuscan city near Italy’s western coast, known for its well-preserved medieval walls and role as the capital of the Maremma region.
  • D. 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.
  • E. Perugia
    Perugia is a historic hilltop city in central Italy, renowned for its Etruscan heritage, medieval architecture, and vibrant cultural and university life.
  • 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3ca3f1a2c8190a512ccc09a080eb4 completed April 18, 2026, 6:15 p.m.
Created at: April 10, 2026, 5:30 a.m.