Triple

T16443298
Position Surface form Disambiguated ID Type / Status
Subject Friuli E399361 entity
Predicate containsCity P294 FINISHED
Object Palmanova E1201012 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: Palmanova | Statement: [Friuli, containsCity, Palmanova]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Palmanova
Context triple: [Friuli, containsCity, Palmanova]
  • A. Palmanova chosen
    Palmanova is a distinctive Renaissance-era star-shaped fortress town in northeastern Italy, renowned for its perfectly symmetrical radial layout and military architecture.
  • B. Palmanova
    Palmanova is a popular beach resort town on the southwest coast of Mallorca, Spain, known for its sandy bays and family-friendly tourism.
  • C. Caerano di San Marco
    Caerano di San Marco is a municipality in the Veneto region of northern Italy, known for its role in the local footwear and sportswear industry.
  • D. Castelvenere
    Castelvenere is a small Italian municipality in the Campania region, noted for its wine production and rural character.
  • E. Monfalcone
    Monfalcone is an industrial port town in northeastern Italy, known for its major shipbuilding industry and location on the Gulf of Trieste.
  • 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_69d87f2c6778819080fcfae53be8f12a completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32cd8d2988190acb5722a15623319 completed April 18, 2026, 7:03 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00458f8f3c8190ad5eff2ad2a32dea completed May 10, 2026, 8:45 a.m.
Created at: April 10, 2026, 5:10 a.m.