Triple

T15557987
Position Surface form Disambiguated ID Type / Status
Subject Vrbas E370919 entity
Predicate hasTributary P415 FINISHED
Object Ugar
Ugar is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
 E1163386 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: Ugar | Statement: [Vrbas, hasTributary, Ugar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ugar
Context triple: [Vrbas, hasTributary, Ugar]
  • A. Urk
    Urk is a traditional Dutch fishing town and former island in the IJsselmeer, now a municipality in the province of Flevoland in the Netherlands.
  • B. Urim
    Urim is an ancient Israelite sacred object, traditionally paired with the Thummim, used by priests for divination and seeking God’s guidance.
  • C. Sumartin
    Sumartin is a coastal village and ferry port on the eastern tip of the Croatian island of Brač, known for its quiet beaches and traditional fishing atmosphere.
  • D. Shumerlya
    Shumerlya is a town in the Chuvash Republic of Russia, known as a local industrial and transport center.
  • E. Ubykhs
    The Ubykhs were a Northwest Caucasian ethnic group historically inhabiting the Black Sea coast near Sochi, known for their now-extinct Ubykh language with an exceptionally large consonant inventory.
  • 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: Ugar
Triple: [Vrbas, hasTributary, Ugar]
Generated description
Ugar is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ugar
Target entity description: Ugar is a river in Bosnia and Herzegovina that flows through central parts of the country before joining the Vrbas River.
  • A. Urk
    Urk is a traditional Dutch fishing town and former island in the IJsselmeer, now a municipality in the province of Flevoland in the Netherlands.
  • B. Urim
    Urim is an ancient Israelite sacred object, traditionally paired with the Thummim, used by priests for divination and seeking God’s guidance.
  • C. Sumartin
    Sumartin is a coastal village and ferry port on the eastern tip of the Croatian island of Brač, known for its quiet beaches and traditional fishing atmosphere.
  • D. Shumerlya
    Shumerlya is a town in the Chuvash Republic of Russia, known as a local industrial and transport center.
  • E. Ubykhs
    The Ubykhs were a Northwest Caucasian ethnic group historically inhabiting the Black Sea coast near Sochi, known for their now-extinct Ubykh language with an exceptionally large consonant inventory.
  • 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_69d85cc6cf40819091f4a5facee1ebe6 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04dda3ab88190ab383333ce69fe8f completed April 16, 2026, 2:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff456635588190a2473bcff3ae4a53 completed May 9, 2026, 2:32 p.m.
NEDg Description generation batch_69ff46f44b2c81909f65f0ab455c6549 completed May 9, 2026, 2:38 p.m.
NED2 Entity disambiguation (via description) batch_69ff477a63b48190a453cf669dfda228 completed May 9, 2026, 2:40 p.m.
Created at: April 10, 2026, 4:09 a.m.