Triple

T5115547
Position Surface form Disambiguated ID Type / Status
Subject New York City Department of Correction E115322 entity
Predicate abbreviation P43 FINISHED
Object DOC E115322 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: [New York City Department of Correction, abbreviation, DOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DOC
Context triple: [New York City Department of Correction, abbreviation, 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 the commonly used abbreviation for the New York City Department of Correction, the agency responsible for operating the city’s jail system.
  • C. DOC
    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.
  • D. DOCO
    DOCO is a mixed-use entertainment, shopping, and dining district in downtown Sacramento, California, adjacent to the Golden 1 Center.
  • E. ReDoc
    ReDoc is an open-source tool that generates interactive, user-friendly API documentation from OpenAPI (Swagger) specifications.
  • 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_69bd4441d1648190a54a533895041987 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd75ce6044819094166aebf0688665 completed March 20, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bebaadfaac8190aa0407196e5c4c20 completed March 21, 2026, 3:35 p.m.
Created at: March 20, 2026, 1:41 p.m.