Triple

T7916309
Position Surface form Disambiguated ID Type / Status
Subject Northwest Florida E183836 entity
Predicate hasCity P316 FINISHED
Object Marianna E429647 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: Marianna | Statement: [Northwest Florida, hasCity, Marianna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianna
Context triple: [Northwest Florida, hasCity, 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. Corina
    Corina is a feminine given name used in various cultures, often considered a variant of names like Corine or Corinna.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. 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.
  • E. Paolina
    Paolina is a feminine given name, commonly used in Italian and other European languages, that is a variant of names like Paulina or Paula.
  • 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_69ca828efbe48190bd48482650182e79 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a76ae688190b068e4c92603a16d completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cbdffe21fc8190acffc2e92d13aa5d completed March 31, 2026, 2:53 p.m.
Created at: March 30, 2026, 5:05 p.m.