Triple

T11390014
Position Surface form Disambiguated ID Type / Status
Subject N’Dolo Airport E269810 entity
Predicate alsoKnownAs P39 FINISHED
Object Ndolo Airport E269810 NE FINISHED

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: Ndolo Airport | Statement: [N’Dolo Airport, alsoKnownAs, Ndolo Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ndolo Airport
Context triple: [N’Dolo Airport, alsoKnownAs, Ndolo Airport]
  • A. Umroi Airport
    Umroi Airport is a domestic airport serving the city of Shillong and the surrounding region in the Indian state of Meghalaya.
  • B. Umbu Mehang Kunda Airport
    Umbu Mehang Kunda Airport is a regional airport serving the island of Sumba in East Nusa Tenggara, Indonesia, providing domestic connections to major Indonesian cities.
  • C. N’Dolo Airport chosen
    N’Dolo Airport is a smaller, secondary airfield serving Kinshasa in the Democratic Republic of the Congo, primarily handling domestic and regional flights.
  • D. Mpanda Airport
    Mpanda Airport is a regional airport in western Tanzania that serves the town of Mpanda and the surrounding Katavi Region.
  • E. Ondangwa Airport
    Ondangwa Airport is a regional airport in northern Namibia that serves the town of Ondangwa and surrounding communities in the Oshana Region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d800160a1c81909d115bf89fe54a49 completed April 9, 2026, 7:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d33ad50c8190982b00aab09098a1 completed April 20, 2026, 7:18 a.m.
Created at: April 8, 2026, 9:34 p.m.