Triple

T6657154
Position Surface form Disambiguated ID Type / Status
Subject Pilica River E150974 entity
Predicate near P350 FINISHED
Object Warka
Warka is a historic town in east-central Poland, known for its long-standing brewing tradition and scenic location along the Pilica River.
 E609200 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: Warka | Statement: [Pilica River, near, Warka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Warka
Context triple: [Pilica River, near, Warka]
  • A. Warka
    Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • D. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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: Warka
Triple: [Pilica River, near, Warka]
Generated description
Warka is a historic town in east-central Poland, known for its long-standing brewing tradition and scenic location along the Pilica River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Warka
Target entity description: Warka is a historic town in east-central Poland, known for its long-standing brewing tradition and scenic location along the Pilica River.
  • A. Warka
    Warka is the modern name for the ancient Mesopotamian city of Uruk, one of the world’s earliest major urban centers in present-day Iraq.
  • B. Terevaka
    Terevaka is a large extinct volcanic peak that forms the highest and youngest of the three main volcanoes making up Easter Island.
  • C. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • D. Lugana
    Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
  • E. Kukawa
    Kukawa is a historic town in northeastern Nigeria that once served as the political and cultural center of the Kanuri people and the Bornu Empire.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06f3da88190b17649f44ee93fd1 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a2a150819091ec6e6d2905abcb completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1344dd4819096c1d3e216320c4d completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:01 p.m.