Triple

T17424211
Position Surface form Disambiguated ID Type / Status
Subject Crailsheim E423694 entity
Predicate hasTwinTown P919 FINISHED
Object Jurbarkas 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: Jurbarkas | Statement: [Crailsheim, hasTwinTown, Jurbarkas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jurbarkas
Context triple: [Crailsheim, hasTwinTown, Jurbarkas]
  • A. Jurbarkas chosen
    Jurbarkas is a small Lithuanian town situated on the banks of the Nemunas River, known for its historical significance and scenic surroundings.
  • B. Grudusk
    Grudusk is a village in north-central Poland that serves as the administrative center of the surrounding rural district (gmina) of the same name.
  • C. Balvi
    Balvi is a small town in eastern Latvia that serves as an important local administrative, cultural, and economic center in the Latgale region.
  • D. Jankūnas
    Jankūnas is a Lithuanian surname most prominently associated with professional basketball player Paulius Jankūnas.
  • E. Jvarboseli
    Jvarboseli is a small mountain village located in the remote Tusheti region of northeastern Georgia.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4423999ac81909fdbd8bcffcb30c9 completed April 19, 2026, 2:47 a.m.
Created at: April 10, 2026, 5:46 a.m.