Triple

T20292109
Position Surface form Disambiguated ID Type / Status
Subject Bishops’ Storehouse E510052 entity
Predicate alsoKnownAs P39 FINISHED
Object bishop’s storehouse 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: bishop’s storehouse | Statement: [Bishops’ Storehouse, alsoKnownAs, bishop’s storehouse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: bishop’s storehouse
Context triple: [Bishops’ Storehouse, alsoKnownAs, bishop’s storehouse]
  • A. Bishops’ Storehouse chosen
    Bishops’ Storehouse is a church-operated network of facilities run by The Church of Jesus Christ of Latter-day Saints that provides food and essential goods to individuals and families in need, typically at no cost.
  • B. Manger
    Manger is a surname most notably associated with Itzik Manger, a prominent 20th-century Yiddish poet and playwright.
  • C. Manger
    Manger is a village in Alver Municipality in Vestland county, Norway, known as a local administrative and service center in the region.
  • D. North Storehouse
    The North Storehouse is one of the main ancient treasure repositories within the Shōsōin complex at Tōdai-ji in Nara, Japan, used to preserve valuable cultural and religious artifacts.
  • E. The Bishop
    The Bishop is a famous Monty Python's Flying Circus sketch parodying melodramatic crime thrillers by following an over-the-top, tough-talking clergyman who investigates mysterious deaths.
  • 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_69e0b4c652388190b782cad965e5a098 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e67700c024819091205f5b0a8648e3 completed April 20, 2026, 6:57 p.m.
Created at: April 16, 2026, 11:12 a.m.