Triple

T2532480
Position Surface form Disambiguated ID Type / Status
Subject The Flintstones E56192 entity
Predicate setting P1957 FINISHED
Object Bedrock E270493 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: Bedrock | Statement: [The Flintstones, setting, Bedrock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bedrock
Context triple: [The Flintstones, setting, Bedrock]
  • A. Bedrock chosen
    Bedrock is the prehistoric, stone-age town that serves as the primary setting of the animated television series "The Flintstones."
  • B. Thaton
    Thaton is an ancient city in southern Myanmar historically significant as a major center of the Mon kingdom and Theravada Buddhism in the region.
  • C. Edenborn
    Edenborn is a science fiction novel by Nick Sagan that continues his post-apocalyptic series exploring genetic engineering and the future of humanity.
  • D. Ochre City
    Ochre City is a popular nickname for Marrakesh, referring to the Moroccan city's distinctive red and ochre-colored buildings and walls.
  • E. Rockwood
    Rockwood is a small city in eastern Tennessee that forms part of the Knoxville metropolitan area.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd279cf108190b03fb6e0265f39d9 completed March 7, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5cf858cc81908d6a7ef5315119aa completed March 9, 2026, 11:51 p.m.
Created at: March 6, 2026, 9:47 p.m.