Triple

T20240202
Position Surface form Disambiguated ID Type / Status
Subject Ruby Best E498263 entity
Predicate honoredBy P500 FINISHED
Object Ruby, Oklahoma 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: Ruby, Oklahoma | Statement: [Ruby Best, honoredBy, Ruby, Oklahoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruby, Oklahoma
Context triple: [Ruby Best, honoredBy, Ruby, Oklahoma]
  • A. Ruby, Oklahoma chosen
    Ruby, Oklahoma is the fictional all-Black town in Toni Morrison’s novel "Paradise," serving as the central setting where the story’s complex social, historical, and spiritual conflicts unfold.
  • B. Rose, Oklahoma
    Rose, Oklahoma is a small unincorporated rural community and census-designated place located in northeastern Oklahoma.
  • C. Johnson, Oklahoma
    Johnson, Oklahoma is a small unincorporated community located in Pottawatomie County in the central part of the state.
  • D. Mustang, Oklahoma
    Mustang, Oklahoma is a rapidly growing suburban city in the Oklahoma City metropolitan area known for its family-friendly community and annual Western-themed celebrations.
  • E. Verden, Oklahoma
    Verden, Oklahoma is a small rural town in central Oklahoma known for its agricultural community and location within the Oklahoma City metropolitan area.
  • 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_69da6274c58c81909c646eabed6f4f30 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6716dd0b081909d4063150cdc0c02 completed April 20, 2026, 6:33 p.m.
Created at: April 11, 2026, 11:40 p.m.