Triple

T15941255
Position Surface form Disambiguated ID Type / Status
Subject Otava E386566 entity
Predicate formedByConfluenceOf P402 FINISHED
Object Vydra
Vydra is a river in the Šumava region of the Czech Republic, known for its rocky riverbed, scenic gorges, and role as one of the headwaters of the Otava River.
E1184643 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: Vydra | Statement: [Otava, formedByConfluenceOf, Vydra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vydra
Context triple: [Otava, formedByConfluenceOf, Vydra]
  • A. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • B. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • C. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • D. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • E. Bregava
    Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
  • 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: Vydra
Triple: [Otava, formedByConfluenceOf, Vydra]
Generated description
Vydra is a river in the Šumava region of the Czech Republic, known for its rocky riverbed, scenic gorges, and role as one of the headwaters of the Otava River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Vydra
Target entity description: Vydra is a river in the Šumava region of the Czech Republic, known for its rocky riverbed, scenic gorges, and role as one of the headwaters of the Otava River.
  • A. Dzvina
    Dzvina is the Belarusian name for the Daugava River, a major Eastern European river flowing through Russia, Belarus, and Latvia into the Baltic Sea.
  • B. Ilava
    Ilava is a small town in northwestern Slovakia known for its historic fortress and role as a regional administrative center.
  • C. Mumlava
    Mumlava is a river in the Krkonoše (Giant) Mountains of the Czech Republic, known for its scenic waterfalls and gorges near the town of Harrachov.
  • D. Vishkanya
    Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
  • E. Bregava
    Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
  • 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_69d86da750008190987eb26be3f6c118 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e156cd3a188190a1a7dcbfdd38284c completed April 16, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffb5bbc07c819098fd768e2e6b5b3e completed May 9, 2026, 10:31 p.m.
NEDg Description generation batch_69ffb706eb348190baba254656fc0e71 completed May 9, 2026, 10:36 p.m.
NED2 Entity disambiguation (via description) batch_69ffb7812bf08190918c1410565633e2 completed May 9, 2026, 10:38 p.m.
Created at: April 10, 2026, 4:53 a.m.