Triple

T20864622
Position Surface form Disambiguated ID Type / Status
Subject České středohoří E513719 entity
Predicate contains P35 FINISHED
Object Kletečná
Kletečná is a notable hill in the Central Bohemian Uplands of the Czech Republic, known for its natural scenery and hiking opportunities.
E1453490 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: Kletečná | Statement: [České středohoří, contains, Kletečná]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kletečná
Context triple: [České středohoří, contains, Kletečná]
  • A. Kleiza
    Kleiza is the surname of Lithuanian former professional basketball player Linas Kleiza, who played in the NBA and for top European clubs.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Ráckeve
    Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
  • D. Leitak
    Leitak is a dialectal variety of the Hakha Chin language spoken by a specific Chin community.
  • E. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • 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: Kletečná
Triple: [České středohoří, contains, Kletečná]
Generated description
Kletečná is a notable hill in the Central Bohemian Uplands of the Czech Republic, known for its natural scenery and hiking opportunities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kletečná
Target entity description: Kletečná is a notable hill in the Central Bohemian Uplands of the Czech Republic, known for its natural scenery and hiking opportunities.
  • A. Kleiza
    Kleiza is the surname of Lithuanian former professional basketball player Linas Kleiza, who played in the NBA and for top European clubs.
  • B. Ostružná
    Ostružná is a river in the Czech Republic that serves as a tributary of the Úhlava River.
  • C. Ráckeve
    Ráckeve is a historic town in central Hungary situated along the Danube River, known for its Serbian cultural heritage and baroque architecture.
  • D. Leitak
    Leitak is a dialectal variety of the Hakha Chin language spoken by a specific Chin community.
  • E. Kolinec
    Kolinec is a small market town in the Plzeň Region of the Czech Republic, known for its historic architecture and rural setting in the Bohemian countryside.
  • 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_69e0b4f5b01081909452f654d2fc3f50 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c45e51f08190ac1ff59280ad741b completed April 21, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a090b12e6ac8190a4b5e99a140d806b completed May 17, 2026, 12:25 a.m.
NEDg Description generation batch_6a090c00cab88190b2cc2d5410455e9a completed May 17, 2026, 12:29 a.m.
NED2 Entity disambiguation (via description) batch_6a090cf5157c8190b311114c8f41dfa2 completed May 17, 2026, 12:33 a.m.
Created at: April 16, 2026, 12:44 p.m.