Triple

T15031998
Position Surface form Disambiguated ID Type / Status
Subject Bug E378375 entity
Predicate flowsNear P350 FINISHED
Object Terespol E207503 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: Terespol | Statement: [Bug, flowsNear, Terespol]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Terespol
Context triple: [Bug, flowsNear, Terespol]
  • A. Volochysk
    Volochysk is a town in western Ukraine known as a local administrative and transportation center near the border with Ternopil Oblast.
  • B. Włodawa
    Włodawa is a town in eastern Poland near the borders with Belarus and Ukraine, known for its multicultural heritage and proximity to the former Sobibor extermination camp.
  • C. Terespol (Poland) chosen
    Terespol is a small town in eastern Poland situated on the Bug River, known primarily as a major road and rail border crossing point between Poland and Belarus opposite the city of Brest.
  • D. Slutsk
    Slutsk is a historic town in central Belarus known for its role as a regional center and for its traditional Slutsk belts.
  • E. Stryj
    Stryj is a historic city in western Ukraine, located on the Stryi River and known as a regional transport and industrial center.
  • 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_69d85cd46b2c819090d054c27787f677 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded7e2416081908dfba48d7f7b4a84 completed April 15, 2026, 12:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69feb7db6f0081909ab35435c1e4ad13 completed May 9, 2026, 4:28 a.m.
Created at: April 10, 2026, 2:59 a.m.