Triple

T16558179
Position Surface form Disambiguated ID Type / Status
Subject Biblical places E402262 entity
Predicate hasExample P1259 FINISHED
Object Gomorrah E466951 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: Gomorrah | Statement: [Biblical places, hasExample, Gomorrah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gomorrah
Context triple: [Biblical places, hasExample, Gomorrah]
  • A. Gomorrah chosen
    Gomorrah is an ancient biblical city, traditionally depicted alongside Sodom as a symbol of extreme wickedness and divine judgment.
  • B. Gomorrah (TV series)
    Gomorrah is an Italian crime drama television series that portrays the brutal inner workings of the Neapolitan Camorra mafia.
  • C. The Mob
    The Mob is an American hard rock band best known for featuring virtuoso guitarist Reb Beach and blending melodic rock with powerful vocals and guitar-driven sound.
  • D. The Mob
    The Mob is a 1951 American film noir crime drama starring Broderick Crawford as a tough undercover cop infiltrating a corrupt waterfront underworld.
  • E. Omertà
    Omertà is a crime novel by Mario Puzo that explores the Sicilian Mafia’s code of silence through the story of a powerful don and his heir.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3576bce0c819087ab36f7dec5c394 completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067bcb698819092ede6ba4f8a4a2b completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.