Triple

T17134796
Position Surface form Disambiguated ID Type / Status
Subject San Fermo della Battaglia E415807 entity
Predicate locatedNear P294 FINISHED
Object Como city centre E1182940 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: Como city centre | Statement: [San Fermo della Battaglia, locatedNear, Como city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Como city centre
Context triple: [San Fermo della Battaglia, locatedNear, Como city centre]
  • A. Como city center chosen
    Como city center is the historic and commercial heart of the lakeside city of Como in northern Italy, known for its medieval streets, waterfront promenades, and proximity to Lake Como’s main attractions.
  • B. City Centre
    City Centre is Mississauga’s primary downtown core, known for its high-density residential towers, major shopping complexes, and civic and cultural facilities.
  • C. City Centre
    City Centre is the central commercial and cultural district of Cambridge, known for its historic university buildings, shops, and public spaces.
  • D. Innenstadt
    Innenstadt is the central urban district of Frankfurt am Main, known as the city’s historic core and primary commercial area.
  • E. Centrum
    Centrum is the central urban district and main commercial area of the Dutch city of Meppel.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f02dca8881908efd73741397a207 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01482cd918819082d18b3cb76394cb completed May 11, 2026, 3:08 a.m.
Created at: April 10, 2026, 5:36 a.m.