Triple

T9189848
Position Surface form Disambiguated ID Type / Status
Subject Orneta E220553 entity
Predicate locatedOnRiver P165 FINISHED
Object Drwęca Warmińska
Drwęca Warmińska is a river in northern Poland’s Warmian-Masurian region, flowing through the town of Orneta and its surrounding rural landscapes.
E783873 NE FINISHED

How this triple was built (4 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: Drwęca Warmińska | Statement: [Orneta, locatedOnRiver, Drwęca Warmińska]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drwęca Warmińska
Context triple: [Orneta, locatedOnRiver, Drwęca Warmińska]
  • A. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • B. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • C. Nowa Dęba
    Nowa Dęba is a small town in southeastern Poland, known for its industrial traditions and location in the Subcarpathian Voivodeship.
  • D. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • E. Wejherowo
    Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Drwęca Warmińska
Triple: [Orneta, locatedOnRiver, Drwęca Warmińska]
Generated description
Drwęca Warmińska is a river in northern Poland’s Warmian-Masurian region, flowing through the town of Orneta and its surrounding rural landscapes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Drwęca Warmińska
Target entity description: Drwęca Warmińska is a river in northern Poland’s Warmian-Masurian region, flowing through the town of Orneta and its surrounding rural landscapes.
  • A. Grodkowo
    Grodkowo is a settlement in northern Poland located within the Warmian-Masurian Voivodeship, a region known for its lakes and natural landscapes.
  • B. Mrągowo
    Mrągowo is a picturesque town in northeastern Poland known for its lakeside setting and popular summer cultural and music festivals.
  • C. Nowa Dęba
    Nowa Dęba is a small town in southeastern Poland, known for its industrial traditions and location in the Subcarpathian Voivodeship.
  • D. Działdowo
    Działdowo is a town in northern Poland known for its historical significance and location within the Warmian-Masurian Voivodeship.
  • E. Wejherowo
    Wejherowo is a historic town in northern Poland known for its baroque Calvary complex and role as a local cultural and administrative center.
  • F. None of above. chosen

Provenance (5 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_69ca83e6d77c81909862b7afef56b1bf completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd5bd8c5c81909d0cdbcd7410fcee completed April 1, 2026, 8:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69d05c272f508190aade1769c88cf16d completed April 4, 2026, 12:32 a.m.
NEDg Description generation batch_69d05cda59f88190bcde5a91aec2f9dd completed April 4, 2026, 12:35 a.m.
NED2 Entity disambiguation (via description) batch_69d05ddd28008190b82c42220871e73f completed April 4, 2026, 12:39 a.m.
Created at: March 30, 2026, 7:24 p.m.