Triple

T8226597
Position Surface form Disambiguated ID Type / Status
Subject Classis Moesica E192187 entity
Predicate hasOpponents P437 FINISHED
Object Carpi E475934 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: Carpi | Statement: [Classis Moesica, hasOpponents, Carpi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carpi
Context triple: [Classis Moesica, hasOpponents, Carpi]
  • A. Carpi chosen
    Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
  • B. Empoli
    Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
  • C. Reggiana
    Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
  • D. Cesena
    Cesena is a historic city in the Emilia-Romagna region of northern Italy, known for its medieval center and the UNESCO-listed Malatestiana Library.
  • E. Chivasso
    Chivasso is a town and comune in the Piedmont region of northwestern Italy, situated near Turin along the Po River.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb77fc10f48190b7e241c89885a478 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69ce023e93248190abbe3cd8ab8194fd completed April 2, 2026, 5:44 a.m.
Created at: March 30, 2026, 5:46 p.m.