Triple

T17257122
Position Surface form Disambiguated ID Type / Status
Subject Jurbarkas District Municipality E418910 entity
Predicate hasAdministrativeCentre P1474 FINISHED
Object Jurbarkas E412906 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: Jurbarkas | Statement: [Jurbarkas District Municipality, hasAdministrativeCentre, Jurbarkas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jurbarkas
Context triple: [Jurbarkas District Municipality, hasAdministrativeCentre, 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. Jvarboseli
    Jvarboseli is a small mountain village located in the remote Tusheti region of northeastern Georgia.
  • E. Kiebu
    Kiebu is the main settlement and administrative center of the island of Makin in Kiribati.
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e6dde4881908e7fc01fd5364616 completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170ff6818819090077dc4a7b774ae completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.