Triple

T2823664
Position Surface form Disambiguated ID Type / Status
Subject Bzura River E54868 entity
Predicate flowsThrough P225 FINISHED
Object Sochaczew E412026 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: Sochaczew | Statement: [Bzura River, flowsThrough, Sochaczew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sochaczew
Context triple: [Bzura River, flowsThrough, Sochaczew]
  • A. Sochaczew chosen
    Sochaczew is a town in central Poland known for its historical significance, particularly during World War II, and its location along the Bzura River west of Warsaw.
  • B. Siedlce
    Siedlce is a city in eastern Poland known as a local economic, cultural, and transportation hub.
  • C. Wadowice
    Wadowice is a historic town in southern Poland best known as the birthplace of Pope John Paul II.
  • D. Ostrołęka
    Ostrołęka is a town in east-central Poland known for its historical role in the Napoleonic Wars and as a local industrial and administrative center.
  • E. Biała Podlaska
    Biała Podlaska is a city in eastern Poland near the Belarusian border, known as a local economic and cultural center of the Lublin Voivodeship.
  • 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_69ab49e100c0819082a40cb797383243 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde91487881909989c08bbf76f0da completed March 7, 2026, 8:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69bda3e679a881908f91a36675037d1a completed March 20, 2026, 7:45 p.m.
Created at: March 6, 2026, 9:59 p.m.