Triple

T20510092
Position Surface form Disambiguated ID Type / Status
Subject Nida E503535 entity
Predicate partOf P40 FINISHED
Object Neringa 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: Neringa | Statement: [Nida, partOf, Neringa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Neringa
Context triple: [Nida, partOf, Neringa]
  • A. Neringa chosen
    Neringa is a resort town and municipality on Lithuania’s Curonian Spit, known for its sandy beaches, dunes, and tourism.
  • B. Duklia
    Duklia is an alternative name for Duklja, a medieval Slavic state centered around present-day Montenegro.
  • C. Plungė
    Plungė is a town in northwestern Lithuania that serves as an important cultural and economic center of the Samogitia region.
  • D. Nausėda
    Nausėda is a Lithuanian surname most prominently associated with Gitanas Nausėda, the President of Lithuania.
  • E. Kaunos
    Kaunos is an ancient Carian city in southwestern Turkey, renowned for its rock-cut Lycian tombs, harbor ruins, and archaeological remains near the modern town of Dalyan.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69dcab8248190992e6ada23e5f253 completed April 20, 2026, 9:42 p.m.
Created at: April 16, 2026, 11:36 a.m.