Triple

T38074751
Position Surface form Disambiguated ID Type / Status
Subject Bartolomeo Colleoni E950680 entity
Predicate eponymousFor P47121 FINISHED
Object equestrian statue of Bartolomeo Colleoni 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: equestrian statue of Bartolomeo Colleoni | Statement: [Bartolomeo Colleoni, eponymousFor, equestrian statue of Bartolomeo Colleoni]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: eponymousFor
Context triple: [Bartolomeo Colleoni, eponymousFor, equestrian statue of Bartolomeo Colleoni]
  • A. eponymFor chosen
    Indicates that one entity gives its name to another entity, which is then named after it.
  • B. eponymOriginCountry
    Indicates the country from which the person or entity that gave its name (as an eponym) to something originates.
  • C. eponymKnownFor
    Indicates that a person or entity is widely recognized or named as the source or inspiration for something else (such as a concept, place, or object).
  • D. eponymProfession
    Indicates that a person’s profession is the source of an eponym, i.e., a word or name derived from that professional role.
  • E. hasEponymConnectionTo
    Indicates that one entity is named after, derived from, or otherwise linguistically or honorifically connected to another entity as its eponym.
  • F. None of above.

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_69f76f02a6c48190a94f3c0b3ee90cf2 completed May 3, 2026, 3:51 p.m.
NER Named-entity recognition batch_69fc44c7e73c819082d4fc1900fb9632 completed May 7, 2026, 7:52 a.m.
PD Predicate disambiguation batch_69fbc8efffbc8190a139798ad1880526 completed May 6, 2026, 11:04 p.m.
Created at: May 3, 2026, 4:21 p.m.