Triple

T18622795
Position Surface form Disambiguated ID Type / Status
Subject Kaunas metropolitan area E455197 entity
Predicate hasPart P35 FINISHED
Object Neveronys eldership NE NERFINISHED

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: Neveronys eldership | Statement: [Kaunas metropolitan area, hasPart, Neveronys eldership]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neveronys eldership
Context triple: [Kaunas metropolitan area, hasPart, Neveronys eldership]
  • A. Neveronys chosen
    Neveronys is a settlement in central Lithuania that forms part of the Kaunas District Municipality near the city of Kaunas.
  • B. Ancient One
    The Ancient One is a powerful and enigmatic sorcerer in the Marvel universe who serves as the Sorcerer Supreme and spiritual guide to Doctor Strange.
  • C. Weni the Elder
    Weni the Elder was a prominent ancient Egyptian official and military commander who served several pharaohs during the Sixth Dynasty, known from his detailed autobiographical tomb inscription.
  • D. Eldrige
    Eldrige is a given name and surname that appears in various English-speaking contexts, often as a variant of the name Eldridge.
  • E. Pirmasens
    Pirmasens is a town in southwestern Germany, in the state of Rhineland-Palatinate, historically known for its shoe manufacturing industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38cc7948190a55ea64e5638994e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54f020fa08190bd78d72182496b19 completed April 19, 2026, 9:54 p.m.
Created at: April 10, 2026, 11:46 a.m.