Triple

T19791755
Position Surface form Disambiguated ID Type / Status
Subject Öndörkhaan Airport E475427 entity
Predicate alternativeName P39 FINISHED
Object Öndörkhaan Airfield 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: Öndörkhaan Airfield | Statement: [Öndörkhaan Airport, alternativeName, Öndörkhaan Airfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Öndörkhaan Airfield
Context triple: [Öndörkhaan Airport, alternativeName, Öndörkhaan Airfield]
  • A. Öndörkhaan Airport chosen
    Öndörkhaan Airport is a regional airport in eastern Mongolia that serves the town of Öndörkhaan and its surrounding area.
  • B. Ulanhot Airport
    Ulanhot Airport is a regional civil airport serving the city of Ulanhot and the surrounding Hinggan League area in Inner Mongolia, China.
  • C. Arxan Yi'ershi Airport
    Arxan Yi'ershi Airport is a regional civil airport serving the Arxan area in Inner Mongolia, China, providing air connectivity for the Hinggan League region.
  • D. Chinggis Khaan International Airport
    Chinggis Khaan International Airport is the main international airport serving Mongolia and its capital city, Ulaanbaatar.
  • E. Baidoa Airport
    Baidoa Airport is a public airport serving the city of Baidoa in south-central Somalia, handling both civilian and military flights.
  • 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_69d8e51b014081908b263e167370529a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e653c37a3c819080f195d58adaaa7b completed April 20, 2026, 4:26 p.m.
Created at: April 10, 2026, 1:49 p.m.