Triple

T14752878
Position Surface form Disambiguated ID Type / Status
Subject Gavar E346653 entity
Predicate locatedWestOf P4239 FINISHED
Object Vardenis E346655 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: Vardenis | Statement: [Gavar, locatedWestOf, Vardenis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vardenis
Context triple: [Gavar, locatedWestOf, Vardenis]
  • A. Vardenis chosen
    Vardenis is a town in eastern Armenia located near Lake Sevan, known as a local administrative and economic center in the Gegharkunik Province.
  • B. Lindinis
    Lindinis is the Roman-era name for the town now known as Ilchester in Somerset, England, which served as an important settlement in Roman Britain.
  • C. Varėna
    Varėna is a town in southeastern Lithuania known as the birthplace of the renowned composer and painter Mikalojus Konstantinas Čiurlionis.
  • D. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian region.
  • E. Narimantas
    Narimantas was a 14th-century Lithuanian prince from the Gediminid dynasty, known as one of the sons of Grand Duke Gediminas and a participant in the political and military affairs of the Grand Duchy of Lithuania.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7d40efc8190bb1be34c19a2b57c completed April 14, 2026, 11:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cea5d348190a84970da131292ee completed May 8, 2026, 4:18 p.m.
Created at: April 10, 2026, 1:30 a.m.