Triple

T10062956
Position Surface form Disambiguated ID Type / Status
Subject Province of Siena E213031 entity
Predicate contains P35 FINISHED
Object Chianciano Terme E421478 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: Chianciano Terme | Statement: [Province of Siena, contains, Chianciano Terme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chianciano Terme
Context triple: [Province of Siena, contains, Chianciano Terme]
  • A. Chianciano Terme chosen
    Chianciano Terme is a renowned spa town in Tuscany, central Italy, famous for its therapeutic thermal waters and wellness tourism.
  • B. San Giuliano Terme
    San Giuliano Terme is an Italian town in Tuscany known for its historic thermal baths and proximity to the city of Pisa.
  • C. San Giovanni Teatino
    San Giovanni Teatino is a municipality in the Abruzzo region of central Italy, situated between Pescara and Chieti and known for its residential areas and commercial–industrial zones.
  • D. Musignano
    Musignano is an Italian locality historically linked to the Bonaparte family’s expanded heraldic and territorial holdings.
  • E. Acquaviva delle Fonti
    Acquaviva delle Fonti is a town in the Apulia region of southern Italy, known for its historic center and rich underground water sources that give it its name.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd4e4ac8190a37061b4082caa48 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29a7bd56c8190a6c43df26db880f4 completed April 5, 2026, 5:23 p.m.
Created at: March 30, 2026, 8:58 p.m.