Triple

T16680563
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian Air Force E405326 entity
Predicate garrison P75 FINISHED
Object Šiauliai Air Base E223205 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: Šiauliai Air Base | Statement: [Lithuanian Air Force, garrison, Šiauliai Air Base]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šiauliai Air Base
Context triple: [Lithuanian Air Force, garrison, Šiauliai Air Base]
  • A. Šiauliai Air Base chosen
    Šiauliai Air Base is a major Lithuanian military airfield that serves as a key NATO hub for regional air defense and operations.
  • B. Kaunas Airport
    Kaunas Airport is an international airport in Lithuania serving the city of Kaunas and functioning as one of the country’s main commercial and low-cost airline hubs.
  • C. Malbork Air Base
    Malbork Air Base is a Polish military airfield that serves as a key NATO outpost for air defense missions over the Baltic region.
  • D. Vilnius Airport
    Vilnius Airport is the main international airport serving Lithuania’s capital, handling the majority of the region’s passenger and air traffic.
  • E. Laage Air Base
    Laage Air Base is a major German Air Force installation in northeastern Germany that serves as a key hub for fighter aircraft operations and training.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6f5cf481909e7628bbaa884e5a completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a008a3e2ddc8190a59108cdf001dac2 completed May 10, 2026, 1:38 p.m.
Created at: April 10, 2026, 5:19 a.m.