Triple

T23184551
Position Surface form Disambiguated ID Type / Status
Subject Modena railway station E579551 entity
Predicate connectsCityTo P60933 FINISHED
Object Sassuolo 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: Sassuolo | Statement: [Modena railway station, connectsCityTo, Sassuolo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sassuolo
Context triple: [Modena railway station, connectsCityTo, Sassuolo]
  • A. Sassuolo chosen
    Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
  • B. Reggiana
    Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
  • C. Reggina
    Reggina is an Italian professional football club from Reggio Calabria, known for its passionate fan base and history of competing in the country's top divisions.
  • D. Salernitana
    Salernitana is an Italian professional football club based in Salerno that competes in the country’s league system, including recent seasons in Serie A.
  • E. Ascoli Calcio
    Ascoli Calcio is an Italian professional football club based in Ascoli Piceno, known for competing primarily in Serie B and occasionally in Serie A.
  • 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_69e245ff8000819090d12008805315b7 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18f717d248190b2736b0789981fb2 completed April 29, 2026, 4:56 a.m.
Created at: April 17, 2026, 4:05 p.m.