Triple

T16285488
Position Surface form Disambiguated ID Type / Status
Subject ROKA E395378 entity
Predicate abbreviation P43 FINISHED
Object ROKA E395378 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: ROKA | Statement: [ROKA, abbreviation, ROKA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ROKA
Context triple: [ROKA, abbreviation, ROKA]
  • A. ROKA chosen
    ROKA is the commonly used abbreviation for the Republic of Korea Army, the land warfare branch of South Korea’s armed forces.
  • B. ROK
    ROK is the IATA airport code for Rockhampton Airport, a regional airport serving the city of Rockhampton in Queensland, Australia.
  • C. ROK
    ROK is the stock ticker symbol for Rockwell Automation, a major U.S.-based industrial automation and information technology company.
  • D. ROKAF
    ROKAF is the air warfare branch of South Korea’s armed forces, responsible for the country’s aerial defense and air operations.
  • E. ROKN
    ROKN is the abbreviation for the Republic of Korea Navy, the maritime branch of South Korea’s armed forces.
  • 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_69d87f22c7248190a54c949738441e2e completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e24913a55081909a9a5a7a7f4806cc completed April 17, 2026, 2:52 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0017c8f51c8190b73cdf2834eda57f completed May 10, 2026, 5:29 a.m.
Created at: April 10, 2026, 5:05 a.m.