Triple

T16089481
Position Surface form Disambiguated ID Type / Status
Subject Line A (Prague Metro) E390322 entity
Predicate hasStation P35 FINISHED
Object Skalka
Skalka is a Prague Metro station on Line A serving the eastern part of the city.
E1192856 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: Skalka | Statement: [Line A (Prague Metro), hasStation, Skalka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skalka
Context triple: [Line A (Prague Metro), hasStation, Skalka]
  • A. Skałka
    Skałka is a dramatic work by Polish playwright and artist Stanisław Wyspiański, inspired by the historic Skałka church in Kraków and its national-symbolic significance.
  • B. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • C. 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.
  • D. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • E. Skała
    Skała is a small historic town in southern Poland, located near Kraków and known as a gateway to the scenic Ojców National Park.
  • 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: Skalka
Triple: [Line A (Prague Metro), hasStation, Skalka]
Generated description
Skalka is a Prague Metro station on Line A serving the eastern part of the city.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Skalka
Target entity description: Skalka is a Prague Metro station on Line A serving the eastern part of the city.
  • A. Skałka
    Skałka is a dramatic work by Polish playwright and artist Stanisław Wyspiański, inspired by the historic Skałka church in Kraków and its national-symbolic significance.
  • B. Krakolye
    Krakolye is a historic village in northwestern Russia known as one of the traditional settlement areas of the Votic people and their endangered Uralic language.
  • C. 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.
  • D. Skawa
    Skawa is a river in southern Poland that flows through the Lesser Poland region before joining the Vistula River.
  • E. Skała
    Skała is a small historic town in southern Poland, located near Kraków and known as a gateway to the scenic Ojców National Park.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1845161908190adca2af94710b2cc completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe63f757c81908c7dc3c5ae3075c6 completed May 10, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6b3f25481908dd4b6108b5d95c0 completed May 10, 2026, 2 a.m.
Created at: April 10, 2026, 4:59 a.m.