Triple

T18045975
Position Surface form Disambiguated ID Type / Status
Subject Val di Chiana E431773 entity
Predicate majorTown P316 FINISHED
Object Lucignano 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: Lucignano | Statement: [Val di Chiana, majorTown, Lucignano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucignano
Context triple: [Val di Chiana, majorTown, Lucignano]
  • A. Lucignano chosen
    Lucignano is a medieval hilltop town in Tuscany, Italy, known for its well-preserved elliptical historic center and Renaissance architecture.
  • B. Lesignano
    Lesignano is a locality or subdivision within the municipality of Serravalle in San Marino.
  • C. Capannori
    Capannori is a municipality in Tuscany, central Italy, known for its agricultural landscape, historic villas, and pioneering zero-waste environmental policies.
  • D. Calenzana
    Calenzana is a village in the Haute-Corse department of Corsica, France, known as a gateway to the island’s mountainous interior and a starting point for hiking and outdoor tourism.
  • E. Montemurlo
    Montemurlo is a municipality in the Tuscany region of central Italy, known for its industrial activity and proximity to the city of Prato.
  • 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff202088190ae971879348e2294 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.