Triple

T21399042
Position Surface form Disambiguated ID Type / Status
Subject Florence E527861 entity
Predicate variantForm P4680 FINISHED
Object Florens 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: Florens | Statement: [Florence, variantForm, Florens]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florens
Context triple: [Florence, variantForm, Florens]
  • A. Florens chosen
    Florens is a young enslaved girl and central narrator in Toni Morrison’s novel "A Mercy," whose perspective reveals the brutal realities of early colonial America.
  • B. Floreffe
    Floreffe is a municipality in Wallonia, Belgium, known for its historic abbey and location along the Sambre River in Namur Province.
  • C. Florenc
    Florenc is a major interchange station on the Prague Metro, serving as a key hub connecting multiple lines and the nearby central bus terminal.
  • D. Fregetta
    Fregetta is a genus of small seabirds known as storm petrels, typically found over open oceans and belonging to the family Oceanitidae.
  • E. Fontessa
    Fontessa is a 1956 jazz album by the Modern Jazz Quartet, celebrated for its sophisticated blend of cool jazz, classical influences, and chamber-like ensemble interplay.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69ee62cf3e808190847ad66d2e65f9f2 completed April 26, 2026, 7:09 p.m.
Created at: April 16, 2026, 5:14 p.m.