Triple

T20143248
Position Surface form Disambiguated ID Type / Status
Subject Zainuddin Abdul Madjid International Airport E491227 entity
Predicate IATAcode P418 FINISHED
Object LOP 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: LOP | Statement: [Zainuddin Abdul Madjid International Airport, IATAcode, LOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LOP
Context triple: [Zainuddin Abdul Madjid International Airport, IATAcode, LOP]
  • A. LOP chosen
    LOP is the IATA airport code for Lombok International Airport, the main air gateway to the Indonesian island of Lombok.
  • B. LOP
    LOP is the vehicle registration code assigned to cars registered in Opole Lubelskie, a town in eastern Poland.
  • C. LOP-G
    LOP-G is the Lunar Orbital Platform-Gateway, a planned crew-tended space station in lunar orbit that will serve as a staging point for deep space exploration missions.
  • D. LPO
    LPO is the commonly used abbreviation for the London Philharmonic Orchestra, one of the leading symphony orchestras based in London, England.
  • E. LOPSTR
    LOPSTR is an international symposium focused on logic-based program development and transformation, bringing together research on program synthesis, analysis, verification, and related areas.
  • 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_69da6265f8f0819080b29c752a574088 completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6679cbc388190bb2b444a69a597a6 completed April 20, 2026, 5:51 p.m.
Created at: April 11, 2026, 11:33 p.m.