Triple

T11353123
Position Surface form Disambiguated ID Type / Status
Subject Slovak mining region E268883 entity
Predicate contains P35 FINISHED
Object Hodruša-Hámre
Hodruša-Hámre is a historic Slovak village renowned for its long-standing gold and silver mining tradition in central Slovakia.
 E920792 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: Hodruša-Hámre | Statement: [Slovak mining region, contains, Hodruša-Hámre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hodruša-Hámre
Context triple: [Slovak mining region, contains, Hodruša-Hámre]
  • A. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • B. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • C. Hannum
    Hannum is a surname most notably associated with Alex Hannum, a Hall of Fame American basketball coach and former player.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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: Hodruša-Hámre
Triple: [Slovak mining region, contains, Hodruša-Hámre]
Generated description
Hodruša-Hámre is a historic Slovak village renowned for its long-standing gold and silver mining tradition in central Slovakia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hodruša-Hámre
Target entity description: Hodruša-Hámre is a historic Slovak village renowned for its long-standing gold and silver mining tradition in central Slovakia.
  • A. Thamserku
    Thamserku is a prominent Himalayan peak in eastern Nepal, known for its steep, dramatic profile and popularity among experienced mountaineers.
  • B. Horki
    Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
  • C. Hannum
    Hannum is a surname most notably associated with Alex Hannum, a Hall of Fame American basketball coach and former player.
  • D. Kluuvi
    Kluuvi is a central district of Helsinki, Finland, known as the city’s main commercial and business hub.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea24489081908fbf47fd2e6d709c completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543a6e97481909dc77a553b217b4d completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bb7be4819093aeeaf0c048033e completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.