Triple

T2103601
Position Surface form Disambiguated ID Type / Status
Subject Tisza E37143 entity
Predicate hasTributary P415 FINISHED
Object Körös
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
 E237331 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: Körös | Statement: [Tisza, hasTributary, Körös]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Körös
Context triple: [Tisza, hasTributary, Körös]
  • A. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • B. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • C. Drina
    The Drina is a significant river in the western Balkans, forming much of the border between Bosnia and Herzegovina and Serbia and known for its scenic canyons and historical importance.
  • D. Tisa River
    The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
  • E. Velika Morava
    Velika Morava is a major river in central Serbia formed by the confluence of the West and South Morava, flowing northward before joining the Danube.
  • 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: Körös
Triple: [Tisza, hasTributary, Körös]
Generated description
Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Körös
Target entity description: Körös is a river in Central Europe that flows through eastern Hungary and parts of Romania before joining the Tisza River.
  • A. Zala River
    The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • B. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • C. Drina
    The Drina is a significant river in the western Balkans, forming much of the border between Bosnia and Herzegovina and Serbia and known for its scenic canyons and historical importance.
  • D. Tisa River
    The Tisa River is a major Central and Eastern European waterway that flows through countries including Ukraine, Romania, Hungary, Slovakia, and Serbia before joining the Danube.
  • E. Velika Morava
    Velika Morava is a major river in central Serbia formed by the confluence of the West and South Morava, flowing northward before joining the Danube.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabf7cdc81909636dff34badc1c5 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae518fb0b4819096a8ce455e22661a completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae523cdebc819088b94e67b5311527 completed March 9, 2026, 4:53 a.m.
NED2 Entity disambiguation (via description) batch_69ae52c56c5c8190bbdd2af3dde63374 completed March 9, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:43 p.m.