Triple

T15032002
Position Surface form Disambiguated ID Type / Status
Subject Bug E378375 entity
Predicate flowsNear P350 FINISHED
Object Hrubieszów 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: Hrubieszów | Statement: [Bug, flowsNear, Hrubieszów]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrubieszów
Context triple: [Bug, flowsNear, Hrubieszów]
  • A. Hrubieszów chosen
    Hrubieszów is a historic town in eastern Poland near the Ukrainian border, known for its multicultural heritage and location in the Lublin region.
  • B. Przemyśl
    Przemyśl is a historic city in southeastern Poland near the Ukrainian border, known for its strategic location, multicultural heritage, and well-preserved fortifications.
  • C. Włoszczowa
    Włoszczowa is a town in south-central Poland known as the seat of Włoszczowa County and a local administrative and service center.
  • D. Tarnobrzeg
    Tarnobrzeg is a city in southeastern Poland known historically for its sulfur mining industry and location along the Vistula River.
  • E. Haczów
    Haczów is a village in southeastern Poland known for its historic wooden architecture and cultural heritage, including one of the oldest and largest Gothic wooden churches in Europe.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
Created at: April 10, 2026, 2:59 a.m.