Triple

T4398692
Position Surface form Disambiguated ID Type / Status
Subject Gerlachovský štít E99557 entity
Predicate near P350 FINISHED
Object Vyšné Hágy
Vyšné Hágy is a mountain settlement in the High Tatras of northern Slovakia, known as a base for hiking and alpine tourism.
 E436074 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: Vyšné Hágy | Statement: [Gerlachovský štít, near, Vyšné Hágy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vyšné Hágy
Context triple: [Gerlachovský štít, near, Vyšné Hágy]
  • A. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • B. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • C. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • D. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • E. Ziegenberg
    Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
  • 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: Vyšné Hágy
Triple: [Gerlachovský štít, near, Vyšné Hágy]
Generated description
Vyšné Hágy is a mountain settlement in the High Tatras of northern Slovakia, known as a base for hiking and alpine tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vyšné Hágy
Target entity description: Vyšné Hágy is a mountain settlement in the High Tatras of northern Slovakia, known as a base for hiking and alpine tourism.
  • A. Olbernhau
    Olbernhau is a town in Germany’s Ore Mountains renowned for its traditional woodcraft industry, especially the production of Schwibbogen candle arches and other Christmas decorations.
  • B. Marchfeld
    Marchfeld is a fertile lowland region in eastern Austria known for its intensive agriculture and vegetable production.
  • C. Pohořelice
    Pohořelice is a small town in the South Moravian Region of the Czech Republic, known for its agricultural surroundings and proximity to the city of Brno.
  • D. Havelterberg
    Havelterberg is a modest hill and natural area in the Dutch province of Drenthe, known for its scenic landscapes and prehistoric burial mounds.
  • E. Ziegenberg
    Ziegenberg is a locality in Hesse, Germany, historically notable for its role and nearby military installations during the later years of World War II.
  • 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_69b345506b408190b0e3dee616738a7d completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b352cc4ab081908bc45d2f76cd4da8 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e53ae7bc8190b216319e522b11c6 completed March 14, 2026, 10:46 p.m.
NEDg Description generation batch_69b5e5f8b9bc8190abb35710e2ddbe5e completed March 14, 2026, 10:49 p.m.
NED2 Entity disambiguation (via description) batch_69b5e62af694819086b3eddb71f591d2 completed March 14, 2026, 10:50 p.m.
Created at: March 12, 2026, 11:20 p.m.