Triple

T4144315
Position Surface form Disambiguated ID Type / Status
Subject Central Lithuania E89346 entity
Predicate containsCity P294 FINISHED
Object Prienai E414339 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: Prienai | Statement: [Central Lithuania, containsCity, Prienai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prienai
Context triple: [Central Lithuania, containsCity, Prienai]
  • A. Prienai chosen
    Prienai is a small town in central Lithuania known for its location along the Nemunas River and its local basketball tradition.
  • B. Priebus
    Priebus is the surname of Reince Priebus, an American attorney and political operative who served as White House Chief of Staff under President Donald Trump.
  • C. Prasne
    Prasne is a notable literary work by renowned Indian writer U. R. Ananthamurthy, associated with modern Kannada literature.
  • D. Palaite
    Palaite is an ancient Anatolian language, closely related to Hittite and Luwian, once spoken in the region of Pala in north-central Anatolia.
  • E. Skvyra
    Skvyra is a town in central Ukraine historically known for its significant Jewish community and cultural life in the 19th and early 20th centuries.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af025d2984819095f299327cc399d5 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f2e787881908a9721877b0fd4ae completed March 14, 2026, 3:30 p.m.
Created at: March 9, 2026, 3:43 p.m.