Triple

T18729937
Position Surface form Disambiguated ID Type / Status
Subject Fiat Ritmo E458007 entity
Predicate assemblyLocation P40 FINISHED
Object Cassino, Italy 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: Cassino, Italy | Statement: [Fiat Ritmo, assemblyLocation, Cassino, Italy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cassino, Italy
Context triple: [Fiat Ritmo, assemblyLocation, Cassino, Italy]
  • A. Cassino chosen
    Cassino is a town in central Italy known for its strategic location and the nearby Monte Cassino, site of a historic Benedictine abbey and major World War II battles.
  • B. Montecarotto, Italy
    Montecarotto, Italy is a small hilltop town in the Marche region known for its medieval historic center, wine production, and traditional cultural festivals.
  • C. Ravanusa, Italy
    Ravanusa is a town and comune in the Province of Agrigento in Sicily, southern Italy.
  • D. Stezzano, Italy
    Stezzano, Italy is a municipality in the Lombardy region near Bergamo, known in particular for hosting the corporate headquarters of the braking-systems manufacturer Brembo.
  • E. Montella, Italy
    Montella, Italy is a small town in the Campania region of southern Italy, known for its mountainous landscape and traditional chestnut production.
  • 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d7660488190b4f70db963d05ef6 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.