Triple

T12910498
Position Surface form Disambiguated ID Type / Status
Subject Kamienna River E308847 entity
Predicate hasNameInLanguage P15 FINISHED
Object Kamienna
Kamienna is a river in south-central Poland that flows through the Świętokrzyskie region before joining the Vistula River.
 E1009833 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: Kamienna | Statement: [Kamienna River, hasNameInLanguage, Kamienna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kamienna
Context triple: [Kamienna River, hasNameInLanguage, Kamienna]
  • A. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • B. Karwia
    Karwia is a seaside village on the Baltic coast of northern Poland, known for its wide sandy beaches and role as a popular summer resort.
  • C. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • D. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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: Kamienna
Triple: [Kamienna River, hasNameInLanguage, Kamienna]
Generated description
Kamienna is a river in south-central Poland that flows through the Świętokrzyskie region before joining the Vistula River.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kamienna
Target entity description: Kamienna is a river in south-central Poland that flows through the Świętokrzyskie region before joining the Vistula River.
  • A. Morawa
    Morawa is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding Mid West agricultural region.
  • B. Karwia
    Karwia is a seaside village on the Baltic coast of northern Poland, known for its wide sandy beaches and role as a popular summer resort.
  • C. Kamionka
    Kamionka is a district (sołectwo) of the town of Mikołów in the Silesian Voivodeship of southern Poland.
  • D. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • E. Krzemień
    Krzemień is a prominent mountain peak in Poland’s Bieszczady range, known for its scenic hiking routes and panoramic views of the surrounding Carpathian landscape.
  • 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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a56b50b48190a0deefd491ed8c4a completed May 3, 2026, 1:31 a.m.
NEDg Description generation batch_69f6a6db731c819091b96c4ed6a50f19 completed May 3, 2026, 1:37 a.m.
NED2 Entity disambiguation (via description) batch_69f6a8a31264819082c1ce67eaa529cc completed May 3, 2026, 1:45 a.m.
Created at: April 9, 2026, 5:41 p.m.