Triple

T7995556
Position Surface form Disambiguated ID Type / Status
Subject Spello E186113 entity
Predicate locatedNear P294 FINISHED
Object Foligno E214235 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: Foligno | Statement: [Spello, locatedNear, Foligno]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Foligno
Context triple: [Spello, locatedNear, Foligno]
  • A. Foligno chosen
    Foligno is a historic city in central Italy known for its medieval architecture, cultural festivals, and strategic location along the Via Flaminia.
  • B. Fermo
    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.
  • C. Rieti
    Rieti is a historic town in central Italy often considered the geographical center of the country and known for its medieval architecture and proximity to the Apennine Mountains.
  • D. Terni
    Terni is an industrial city in the Umbria region of central Italy, known for its steel production and historic Roman and medieval heritage.
  • 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_69ca829c6c308190ab05b43d234c52b2 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3c7547dc8190a60a06b3d61764b0 completed March 31, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccecaf89e88190b347abc200d1a266 completed April 1, 2026, 10 a.m.
Created at: March 30, 2026, 5:17 p.m.