Triple

T11046110
Position Surface form Disambiguated ID Type / Status
Subject Moturau Hut E261139 entity
Predicate managedBy P86 FINISHED
Object DOC E261134 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: DOC | Statement: [Moturau Hut, managedBy, DOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOC
Context triple: [Moturau Hut, managedBy, DOC]
  • A. DOC
    DOC is the commonly used abbreviation for the Division of Organic Chemistry, a professional organization focused on advancing research and education in organic chemistry.
  • B. DOC chosen
    DOC is New Zealand’s government agency responsible for conserving the country’s natural and historic heritage, including national parks, native species, and protected areas.
  • C. DOC
    DOC (Denominação de Origem Controlada) is Portugal’s highest wine classification, designating wines from strictly regulated and geographically defined regions known for their quality and typicity.
  • D. DOC
    DOC is the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
  • E. DOCU
    DOCU is the stock ticker symbol for DocuSign, a leading provider of electronic signature and digital agreement management solutions.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7982f7e688190b3f0c249cd9b1a3e completed April 9, 2026, 12:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e73e7f68819097213e4601c07ee8 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.