Triple

T18801384
Position Surface form Disambiguated ID Type / Status
Subject Cattedrale di San Lorenzo E459761 entity
Predicate faces P1699 FINISHED
Object Piazza IV Novembre NE NERFINISHED

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: Piazza IV Novembre | Statement: [Cattedrale di San Lorenzo, faces, Piazza IV Novembre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Piazza IV Novembre
Context triple: [Cattedrale di San Lorenzo, faces, Piazza IV Novembre]
  • A. Piazza IV Novembre chosen
    Piazza IV Novembre is the central historic square of Perugia, Italy, known for its medieval architecture and the iconic Fontana Maggiore.
  • B. Piazza XX Settembre
    Piazza XX Settembre is a central square in the city of Lecco, Italy, known as a focal point of urban life and historical architecture.
  • C. Piazza Pancali
    Piazza Pancali is a central square in Syracuse, Sicily, known for its proximity to the ancient Temple of Apollo and its role as a busy urban hub.
  • D. Piazza Matteotti
    Piazza Matteotti is a historic central square in Udine, Italy, known for its arcaded buildings, lively cafés, and role as a focal point of the city’s social and cultural life.
  • E. Piazza Matteotti
    Piazza Matteotti is a central square in Cagliari, Italy, serving as a key urban hub close to major transport links and civic buildings.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d398c7d4819091cb2f7e48948aeb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5a02400208190b1d84e2b0640df08 completed April 20, 2026, 3:40 a.m.
Created at: April 10, 2026, 11:53 a.m.