Triple

T11804210
Position Surface form Disambiguated ID Type / Status
Subject Wanda Rutkiewicz E280702 entity
Predicate placeOfBirth P1 FINISHED
Object Plungė E437884 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: Plungė | Statement: [Wanda Rutkiewicz, placeOfBirth, Plungė]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Plungė
Context triple: [Wanda Rutkiewicz, placeOfBirth, Plungė]
  • A. Plungė chosen
    Plungė is a town in northwestern Lithuania that serves as an important cultural and economic center of the Samogitia region.
  • B. Ukmergė
    Ukmergė is a historic town in central Lithuania known for its location along the Šventoji River and its role as a regional cultural and administrative center.
  • C. 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.
  • D. Pielavesi
    Pielavesi is a rural municipality in Northern Savonia, Finland, best known as the birthplace of long-serving Finnish president Urho Kekkonen.
  • E. Varniai
    Varniai is a historic town in Lithuania that once served as a key political and religious center of the Samogitian 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f166dbcb848190a5942ec00a2ca2f9 completed April 29, 2026, 2:03 a.m.
Created at: April 8, 2026, 9:42 p.m.