Triple

T21909848
Position Surface form Disambiguated ID Type / Status
Subject DCP E541030 entity
Predicate abbreviation P43 FINISHED
Object DCP 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: DCP | Statement: [DCP, abbreviation, DCP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DCP
Context triple: [DCP, abbreviation, DCP]
  • A. DCP chosen
    DCP is the New York City agency responsible for guiding land use, zoning, and long-term urban planning across the five boroughs.
  • B. DCP
    DCP is the commonly used acronym for the American Physical Society's Division of Chemical Physics, which focuses on research at the interface of chemistry and physics.
  • C. D-Cinelike
    D-Cinelike is a flat, cinematic color profile developed by DJI that preserves more dynamic range and flexibility for color grading in post-production.
  • D. DCG
    DCG is the Dental College of Georgia, a dental school that provides education, research, and clinical services in dentistry.
  • E. DCG
    DCG is the commonly used abbreviation for the Duke City Gladiators, a professional indoor football team based in Albuquerque, New Mexico.
  • 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_69e0c47c4b9c8190a5586a75f5f36453 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f121d9796881909fc1454a7b61b8fe completed April 28, 2026, 9:08 p.m.
Created at: April 16, 2026, 7:40 p.m.