Triple

T16883451
Position Surface form Disambiguated ID Type / Status
Subject Chianciano Terme E421478 entity
Predicate locatedIn P40 FINISHED
Object Province of Siena E213031 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: Province of Siena | Statement: [Chianciano Terme, locatedIn, Province of Siena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Province of Siena
Context triple: [Chianciano Terme, locatedIn, Province of Siena]
  • A. Province of Siena chosen
    The Province of Siena is an administrative area in central Italy renowned for its medieval hill towns, vineyards, and the historic city of Siena.
  • B. Province of Arezzo
    The Province of Arezzo is an administrative area in central Italy known for its historic medieval towns, art heritage, and scenic Tuscan landscapes.
  • C. Province of Prato
    The Province of Prato is an administrative area in central Italy known for its textile industry and centered on the city of Prato.
  • D. Province of Pisa
    The Province of Pisa is an administrative region in Tuscany, central Italy, centered on the historic city of Pisa and known for its rich cultural heritage and notable architectural landmarks.
  • E. Province of Lucca
    The Province of Lucca is an administrative area in central Italy known for its historic walled city, medieval architecture, and scenic landscapes stretching from the Tuscan coast to the Apennine mountains.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.