Triple

T6869791
Position Surface form Disambiguated ID Type / Status
Subject Luigi Poletti E158510 entity
Predicate workLocation P7 FINISHED
Object Fermo E188889 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: Fermo | Statement: [Luigi Poletti, workLocation, Fermo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fermo
Context triple: [Luigi Poletti, workLocation, Fermo]
  • A. Fermo chosen
    Fermo is a historic hilltop city in Italy’s Marche region, known for its medieval architecture, Roman heritage, and panoramic views over the Adriatic coast.
  • B. 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.
  • C. Macerata
    Macerata is a historic hilltop city in Italy’s Marche region, known for its Renaissance architecture and renowned open-air opera festival at the Sferisterio arena.
  • D. Foligno
    Foligno is a historic city in central Italy known for its medieval architecture, cultural festivals, and strategic location along the Via Flaminia.
  • E. Gubbio
    Gubbio is a historic medieval town in the Umbria region of central Italy, known for its well-preserved stone architecture and traditional festivals.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8a916a88190b81551731dff2898 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8274d1994819089af156d634547ee completed March 28, 2026, 7:09 p.m.
Created at: March 27, 2026, 2:22 p.m.