Triple

T21549214
Position Surface form Disambiguated ID Type / Status
Subject Valdarno E531715 entity
Predicate hasTown P847 FINISHED
Object Terranuova Bracciolini 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: Terranuova Bracciolini | Statement: [Valdarno, hasTown, Terranuova Bracciolini]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terranuova Bracciolini
Context triple: [Valdarno, hasTown, Terranuova Bracciolini]
  • A. Terranuova Bracciolini chosen
    Terranuova Bracciolini is a town in Tuscany, Italy, best known as the birthplace of the early Renaissance humanist and scholar Poggio Bracciolini.
  • B. Zagarolo
    Zagarolo is a historic hill town in the Lazio region of central Italy, known for its medieval center and proximity to Rome.
  • C. Montefano
    Montefano is a small historic town in Italy’s Marche region, known for its hilltop setting and traditional rural character.
  • D. Roccastrada
    Roccastrada is a historic hill town and comune in southern Tuscany, Italy, known for its medieval architecture and scenic countryside.
  • E. Schignano
    Schignano is a small Italian village in the Lombardy region, known for its traditional Alpine setting and historic Carnival celebrations.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb5917fb88190a8d37831cced75dc completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.