Triple

T17242822
Position Surface form Disambiguated ID Type / Status
Subject Prienai District Municipality E418544 entity
Predicate administrativeCenter P1474 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: [Prienai District Municipality, administrativeCenter, Prienai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prienai
Context triple: [Prienai District Municipality, administrativeCenter, 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. Prystaiko
    Prystaiko is the surname of Vadym Prystaiko, a Ukrainian diplomat and former Minister of Foreign Affairs.
  • D. Prasne
    Prasne is a notable literary work by renowned Indian writer U. R. Ananthamurthy, associated with modern Kannada literature.
  • E. Skuodas
    Skuodas is a small historic town in northwestern Lithuania, known as one of the traditional centers of the Samogitian ethnographic 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_69d886d8e96081909870bff6c3d0bf09 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e21003c81908c884a3c8712676a completed April 19, 2026, 1:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0170f388608190b709b1c228a7ba29 completed May 11, 2026, 6:02 a.m.
Created at: April 10, 2026, 5:39 a.m.