Triple

T18174729
Position Surface form Disambiguated ID Type / Status
Subject City of Marianna E435126 entity
Predicate commonName P570 FINISHED
Object Marianna 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: Marianna | Statement: [City of Marianna, commonName, Marianna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianna
Context triple: [City of Marianna, commonName, Marianna]
  • A. Marianna chosen
    Marianna is a small city in Florida’s Panhandle known for its historic architecture, including the Russ House, and its proximity to natural attractions like caves and springs.
  • B. Mariann
    Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
  • C. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • D. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • E. Gianetta
    Gianetta is one of the lively, romantic young Venetian girls in Gilbert and Sullivan’s comic opera "The Gondoliers," who becomes entangled in the opera’s mistaken-identity royal plot.
  • 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_69d8b90b7a188190b3fc7b8d4a6cd20a completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4df5900788190994525954a89fa3c completed April 19, 2026, 1:57 p.m.
Created at: April 10, 2026, 10:30 a.m.