Triple

T1404800
Position Surface form Disambiguated ID Type / Status
Subject Lake Balaton E31666 entity
Predicate inflow P415 FINISHED
Object Zala River
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
E218034 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: Zala River | Statement: [Lake Balaton, inflow, Zala River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zala River
Context triple: [Lake Balaton, inflow, Zala River]
  • A. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • B. 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.
  • C. Brda River
    The Brda River is a significant river in northern Poland that flows through the city of Bydgoszcz and is known for its scenic landscapes and recreational opportunities.
  • D. Istra River
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • E. 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.
  • 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: Zala River
Triple: [Lake Balaton, inflow, Zala River]
Generated description
The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Zala River
Target entity description: The Zala River is a major river in western Hungary that drains a large catchment area before emptying into Lake Balaton.
  • A. Tisza
    The Tisza is one of Central Europe's significant rivers, flowing through several countries including Hungary before joining the Danube.
  • B. 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.
  • C. Brda River
    The Brda River is a significant river in northern Poland that flows through the city of Bydgoszcz and is known for its scenic landscapes and recreational opportunities.
  • D. Istra River
    The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
  • E. 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.
  • 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_69a49918e1f88190ba610f9dc8114578 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c3bb3a9c81909db2ad91defd87b6 completed March 1, 2026, 10:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69adfb8a58ec81908b2bb5c27283bafa completed March 8, 2026, 10:43 p.m.
NEDg Description generation batch_69adfc6aa96c81909ae3cff6c7ab7f79 completed March 8, 2026, 10:47 p.m.
NED2 Entity disambiguation (via description) batch_69adfcebbc808190a74f9082636bce11 completed March 8, 2026, 10:49 p.m.
Created at: March 1, 2026, 7:59 p.m.