Triple

T20988028
Position Surface form Disambiguated ID Type / Status
Subject OKACOM E516942 entity
Predicate acronym P43 FINISHED
Object OKACOM 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: OKACOM | Statement: [OKACOM, acronym, OKACOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OKACOM
Context triple: [OKACOM, acronym, OKACOM]
  • A. AKOM
    AKOM is a South Korean animation studio known for providing outsourced animation work on numerous popular Western television series, including many episodes of the original Transformers cartoon.
  • B. OKACOM for basin commission chosen
    OKACOM for basin commission is the permanent river basin organization responsible for coordinating the sustainable management and development of the transboundary Okavango River among its riparian states.
  • C. OKAS
    OKAS is the ICAO airport code assigned to Ali Al Salem Air Base, a key military airfield in Kuwait.
  • D. OKAJ
    OKAJ is the ICAO airport code assigned to Ahmad al-Jaber Air Base, a military airfield in Kuwait.
  • E. OKA
    OKA is the IATA airport code for Naha Airport, the main air gateway to Okinawa, Japan.
  • 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_69e0b4ffac148190bbade9f0eceb660b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fbe5208c8190b8b843b3778589d3 completed April 21, 2026, 4:24 a.m.
Created at: April 16, 2026, 1:49 p.m.