Triple

T21058645
Position Surface form Disambiguated ID Type / Status
Subject Chirimachus E518791 entity
Predicate associatedRegion P285 FINISHED
Object Argolis 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: Argolis | Statement: [Chirimachus, associatedRegion, Argolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Argolis
Context triple: [Chirimachus, associatedRegion, Argolis]
  • A. Argolis chosen
    Argolis is a historic region in the northeastern Peloponnese of Greece, known for its rich archaeological heritage and ancient city-states.
  • B. Griese
    Griese is a surname most prominently associated with Bob Griese, the Hall of Fame American football quarterback.
  • C. Breeland
    Breeland is the surname of the fictional Lemon Breeland, a character from the television series "Hart of Dixie."
  • D. Cloyce
    Cloyce is a surname most notably associated with Sarah Cloyce, one of the women accused during the Salem witch trials in 17th-century Massachusetts.
  • E. Orlondo
    Orlondo is a less common variant of the given name Orlando, typically used as a masculine first name.
  • 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_69e0b5053ac48190921529544959e906 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fd8236b481908eebfaeeb2aa63e6 completed April 21, 2026, 4:30 a.m.
Created at: April 16, 2026, 2:37 p.m.