Triple

T14739057
Position Surface form Disambiguated ID Type / Status
Subject Fiuggi E346294 entity
Predicate hasPart P35 FINISHED
Object Fiuggi Fonte E346294 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: Fiuggi Fonte | Statement: [Fiuggi, hasPart, Fiuggi Fonte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fiuggi Fonte
Context triple: [Fiuggi, hasPart, Fiuggi Fonte]
  • A. Fontecchio
    Fontecchio is a small historic hill town in Italy’s Abruzzo region, known for its medieval architecture and scenic setting within the Apennine mountains.
  • B. Serrara Fontana
    Serrara Fontana is a small hillside municipality on the Italian island of Ischia, known for its scenic views, traditional villages, and proximity to thermal springs.
  • C. Francofonte
    Francofonte is a town and comune in southeastern Sicily, Italy, known for its agricultural production, particularly citrus fruits.
  • D. Fiuggi chosen
    Fiuggi is an Italian spa town in the Lazio region, renowned for its mineral water springs and therapeutic treatments.
  • E. Roccafluvione
    Roccafluvione is a small Italian municipality in the Marche region, known for its hilly landscape and traditional rural character.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73264848190be23c5f0260cbe13 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:29 a.m.