Triple

T1913033
Position Surface form Disambiguated ID Type / Status
Subject Miskolc E38152 entity
Predicate locatedOnRiver P165 FINISHED
Object Szinva
Szinva is a small river in northeastern Hungary that flows through the city of Miskolc and is known for features like the Szinva Waterfall.
 E215780 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: Szinva | Statement: [Miskolc, locatedOnRiver, Szinva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Szinva
Context triple: [Miskolc, locatedOnRiver, Szinva]
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • D. Fonyód
    Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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: Szinva
Triple: [Miskolc, locatedOnRiver, Szinva]
Generated description
Szinva is a small river in northeastern Hungary that flows through the city of Miskolc and is known for features like the Szinva Waterfall.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Szinva
Target entity description: Szinva is a small river in northeastern Hungary that flows through the city of Miskolc and is known for features like the Szinva Waterfall.
  • A. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • B. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • C. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • D. Fonyód
    Fonyód is a Hungarian resort town on the southern shore of Lake Balaton, known for its beaches, marinas, and panoramic views of the lake and surrounding hills.
  • E. Sivaraksa
    Sivaraksa is the surname of Sulak Sivaraksa, a prominent Thai social activist, intellectual, and proponent of engaged Buddhism.
  • 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_69a8862a26088190aae5243695aeefc0 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb1e26b948190aa194c30755ac5df completed March 7, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3d5972881908856b75b324a1ad2 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf44290748190b882559de536af09 completed March 8, 2026, 10:12 p.m.
NED2 Entity disambiguation (via description) batch_69adf4d0ac58819096659706ef0785d0 completed March 8, 2026, 10:14 p.m.
Created at: March 4, 2026, 7:35 p.m.