Triple

T19623017
Position Surface form Disambiguated ID Type / Status
Subject MBJ E471060 entity
Predicate hasICAOCode P419 FINISHED
Object MKJS 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: MKJS | Statement: [MBJ, hasICAOCode, MKJS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MKJS
Context triple: [MBJ, hasICAOCode, MKJS]
  • A. MKJS chosen
    MKJS is the ICAO airport code for Sangster International Airport in Montego Bay, Jamaica.
  • B. KMJS
    KMJS is a popular Philippine television news magazine show hosted by veteran broadcast journalist Jessica Soho, known for its human-interest stories and in-depth features.
  • C. MKJP
    MKJP is the ICAO airport code for Norman Manley International Airport, a major international gateway serving Kingston, Jamaica.
  • D. JMK
    JMK is the three-letter IATA airport code for Mykonos Island National Airport in Greece.
  • E. MK
    MK is the vehicle registration code used on license plates for the Märkischer Kreis district in North Rhine-Westphalia, Germany.
  • 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.