Triple

T16680564
Position Surface form Disambiguated ID Type / Status
Subject Lithuanian Air Force E405326 entity
Predicate headquartersLocation P62 FINISHED
Object Šiauliai E556607 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 | Statement: [Lithuanian Air Force, headquartersLocation, Šiauliai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šiauliai
Context triple: [Lithuanian Air Force, headquartersLocation, Šiauliai]
  • A. Šiauliai chosen
    Šiauliai is one of the largest cities in Lithuania, known as a regional industrial and cultural center in the northern part of the country.
  • B. Šilutė
    Šilutė is a town in western Lithuania known for its location near the Nemunas River delta and its historical ties to the former East Prussian region.
  • C. Zarasai
    Zarasai is a small town in northeastern Lithuania known for its lakes and scenic natural surroundings.
  • D. Vilkaviškis
    Vilkaviškis is a town in southwestern Lithuania known as an administrative and historical center of the surrounding agricultural region.
  • E. Telšiai
    Telšiai is a historic city in northwestern Lithuania that serves as the cultural and administrative center of the Samogitia 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_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.