Triple

T1299476
Position Surface form Disambiguated ID Type / Status
Subject Clark County E27728 entity
Predicate contains P35 FINISHED
Object Paradise E106039 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: Paradise | Statement: [Clark County, contains, Paradise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paradise
Context triple: [Clark County, contains, Paradise]
  • A. Paradise
    "Paradise" is a 1997 novel by Nobel Prize–winning author Toni Morrison that explores race, gender, community, and violence in an all-Black town in Oklahoma.
  • B. Welcome to Paradise
    "Welcome to Paradise" is a popular punk rock song by Green Day, best known from their breakthrough 1994 album "Dookie."
  • C. Town of Paradise chosen
    The Town of Paradise is a small Northern California community in the Sierra Nevada foothills, widely known for being devastated by the 2018 Camp Fire.
  • D. Fool's Paradise
    Fool's Paradise is a 2023 satirical comedy film that marks Charlie Day's feature directorial debut, following a mute man who becomes an accidental Hollywood star.
  • E. Heaven
    Heaven is a spiritual or transcendent realm in many religions and belief systems, often depicted as the ultimate place of divine presence, peace, and reward after death.
  • 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_69a496d6682881909ba658f1c1e0e2b0 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c111a76c81909e6b914694986251 completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbae7182081908b7045a15a2275d8 completed March 7, 2026, 11:55 p.m.
Created at: March 1, 2026, 7:51 p.m.