Triple

T19623059
Position Surface form Disambiguated ID Type / Status
Subject MKJS E471061 entity
Predicate iataCode P2569 FINISHED
Object MBJ 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: MBJ | Statement: [MKJS, iataCode, MBJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MBJ
Context triple: [MKJS, iataCode, MBJ]
  • A. MBJ chosen
    MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
  • B. MJIB
    MJIB is Taiwan’s national investigative and intelligence agency responsible for counterintelligence, security, and major criminal investigations.
  • C. MBK
    MBK is a large, popular shopping and entertainment complex in Bangkok, Thailand, known for its wide range of affordable goods and bustling atmosphere.
  • D. MBK
    MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
  • E. MBSJ
    MBSJ is the municipal council responsible for local governance and city management in Subang Jaya, Selangor, Malaysia.
  • 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640e7949081908a89414ef899fa20 completed April 20, 2026, 3:06 p.m.
Created at: April 10, 2026, 1:44 p.m.