Triple

T9077524
Position Surface form Disambiguated ID Type / Status
Subject Krosno E217525 entity
Predicate locatedOn P40 FINISHED
Object Wisłok River E172604 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: Wisłok River | Statement: [Krosno, locatedOn, Wisłok River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wisłok River
Context triple: [Krosno, locatedOn, Wisłok River]
  • A. Wisłok River chosen
    The Wisłok River is a significant river in southeastern Poland that flows through the Subcarpathian region and serves as an important tributary of the San River.
  • B. Włodawka River
    The Włodawka River is a small river in eastern Poland that flows through the town of Włodawa before joining the Bug River.
  • C. Motława River
    The Motława River is a picturesque waterway in Gdańsk, Poland, lined with historic architecture and serving as a central feature of the city’s old port and tourist district.
  • D. Narewka River
    The Narewka River is a tributary watercourse in northeastern Poland that flows through the Podlasie region and Białowieża Forest before joining the Narew River.
  • E. Słupia River
    The Słupia River is a river in northern Poland known for its scenic course through forests and lakes, hydropower facilities, and protected natural areas.
  • 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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69d10776e8e88190a4433e42a3b55f38 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 7:12 p.m.