Triple

T19113202
Position Surface form Disambiguated ID Type / Status
Subject USACID E467840 entity
Predicate abbreviation P43 FINISHED
Object CID 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: CID | Statement: [USACID, abbreviation, CID]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CID
Context triple: [USACID, abbreviation, CID]
  • A. CID
    CID is a common abbreviation for Seattle’s Chinatown–International District, a historic neighborhood known for its Asian American communities, businesses, and cultural institutions.
  • B. CID
    The CID was a high-level British government body responsible for coordinating defense and military policy across the Empire in the early 20th century.
  • C. CID
    CID is the abbreviated name for the Criminal Investigations Division of the Metropolitan Police Department, responsible for conducting in-depth investigations into serious crimes.
  • D. CID chosen
    CID is the three-letter IATA airport code for The Eastern Iowa Airport serving the Cedar Rapids area in Iowa, United States.
  • E. CIDI
    CIDI is a specialized body of the Organization of American States that promotes integral development and cooperation among its member states in the Americas.
  • 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_69d8dd06a26481908039e2a1bae8c597 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e39553708190b64e24e1d190833e completed April 20, 2026, 8:28 a.m.
Created at: April 10, 2026, 12:05 p.m.