Triple

T15441767
Position Surface form Disambiguated ID Type / Status
Subject Batagay Airport E369919 entity
Predicate serves P98 FINISHED
Object Batagay E75525 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: Batagay | Statement: [Batagay Airport, serves, Batagay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batagay
Context triple: [Batagay Airport, serves, Batagay]
  • A. Batagay chosen
    Batagay is a small settlement in Russia’s Sakha Republic, known for its proximity to the massive Batagaika crater and the remote Verkhoyansk mountain region.
  • B. Koma Kulshan
    Koma Kulshan is the Indigenous (primarily Lummi) name for Mount Baker, a prominent glaciated stratovolcano in the North Cascades of Washington State.
  • C. Tatitlek
    Tatitlek is a small Alaska Native village in south-central Alaska, traditionally inhabited by the Alutiiq people and known for its subsistence lifestyle and coastal setting.
  • D. Malaya Kokshaga
    Malaya Kokshaga is a river in the Mari El Republic of Russia that flows through the city of Yoshkar-Ola and is a tributary of the Volga River.
  • E. Hattula
    Hattula is a municipality in southern Finland known for its medieval stone church and lakeside landscapes.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef55f5c8190a32b1b6ad1daf454 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2cf7ce7c8190810ef35b6e37254d completed May 9, 2026, 12:47 p.m.
Created at: April 10, 2026, 3:21 a.m.