Triple

T17550578
Position Surface form Disambiguated ID Type / Status
Subject Montecatini Terme E427449 entity
Predicate hasPart P35 FINISHED
Object Montecatini Alto 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: Montecatini Alto | Statement: [Montecatini Terme, hasPart, Montecatini Alto]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montecatini Alto
Context triple: [Montecatini Terme, hasPart, Montecatini Alto]
  • A. Montecatini company
    Montecatini company was a major Italian chemical and industrial conglomerate, historically significant for its role in the development of modern plastics and synthetic materials.
  • B. Molteni
    Molteni is a brand of Italian salami products known for producing traditional cured meats.
  • C. Molteni
    Molteni was a prominent Italian professional cycling team best known for being the dominant squad of legendary rider Eddy Merckx during the late 1960s and early 1970s.
  • D. Montecatini Val di Cecina chosen
    Montecatini Val di Cecina is a small historic hill town in Tuscany, central Italy, known for its medieval architecture and former copper mining industry.
  • E. Valfabbrica
    Valfabbrica is a small Italian municipality in the Umbria region, known for its medieval historic center and location along the ancient pilgrimage route to Assisi.
  • 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_69d889df6dc081908f67dbadc03c07ee completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e454656dc08190bba85b93bd07b0a2 completed April 19, 2026, 4:04 a.m.
Created at: April 10, 2026, 5:50 a.m.