Triple

T7548867
Position Surface form Disambiguated ID Type / Status
Subject Weinheim E178475 entity
Predicate hasTwinTown P919 FINISHED
Object Imola E212999 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: Imola | Statement: [Weinheim, hasTwinTown, Imola]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imola
Context triple: [Weinheim, hasTwinTown, Imola]
  • A. Imola chosen
    Imola is a historic city in Italy’s Emilia-Romagna region, best known for its Formula One racing circuit, the Autodromo Enzo e Dino Ferrari.
  • B. Monza
    Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
  • C. 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.
  • D. Pesaro
    Pesaro is a coastal city on Italy’s Adriatic Sea, known for its Renaissance architecture, seaside resorts, and as the birthplace of composer Gioachino Rossini.
  • E. Bertinoro
    Bertinoro is a historic hilltop town in Italy’s Emilia-Romagna region, renowned for its medieval architecture, wine production, and panoramic views over the surrounding countryside.
  • 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_69c69f2cbe08819088f9eb0c03ef529b completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f89b9afc8190b3e61a8e2cea7ad7 completed March 27, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f2b0de48190a854b4d4935c2254 completed March 28, 2026, 9:59 p.m.
Created at: March 27, 2026, 3:49 p.m.