Triple

T4853368
Position Surface form Disambiguated ID Type / Status
Subject Rastatt E108471 entity
Predicate twinTown P1072 FINISHED
Object Fano E153280 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: Fano | Statement: [Rastatt, twinTown, Fano]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fano
Context triple: [Rastatt, twinTown, Fano]
  • A. Fano chosen
    Fano is a historic coastal city in Italy’s Marche region, known for its Roman origins, Adriatic seaside location, and one of the oldest Carnival celebrations in the country.
  • B. Frascati
    Frascati is a historic town in the Alban Hills near Rome, Italy, renowned for its white wine, Renaissance villas, and scenic views over the capital.
  • C. 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.
  • D. Faenza
    Faenza is a historic city in Italy’s Emilia-Romagna region, renowned for its traditional ceramics and artistic majolica production.
  • E. Todi
    Todi is a historic hilltop town in central Italy known for its medieval architecture, scenic views over the Tiber Valley, and well-preserved city walls and churches.
  • 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d3b00fc81909bdb95eb9648c907 completed March 20, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5ce33db08190b44b5b0c21d2b850 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:26 p.m.