Triple

T17370102
Position Surface form Disambiguated ID Type / Status
Subject Telemark Canal E422287 entity
Predicate hasLockSystem P2431 FINISHED
Object Hogga Locks NE ONDG

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: Hogga Locks | Statement: [Telemark Canal, hasLockSystem, Hogga Locks]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hogga Locks
Context triple: [Telemark Canal, hasLockSystem, Hogga Locks]
  • A. Agigea Lock
    Agigea Lock is a major navigation lock on Romania’s Danube–Black Sea Canal that enables ships to transit between the Danube River and the Black Sea by managing water level differences.
  • B. Wizard’s Well
    Wizard’s Well is a historic, carved spring on Alderley Edge in Cheshire, England, associated with local legends of a sleeping army and a mysterious wizard.
  • C. Rivenhall
    Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
  • D. Hammerbrook
    Hammerbrook is an inner-city district of Hamburg, Germany, known for its canals, commercial areas, and post-war redevelopment.
  • E. Lakenhal
    Lakenhal is a historic museum in Leiden, Netherlands, housed in a former cloth hall and known for its collection of Dutch Golden Age art.
  • 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: Hogga Locks
Triple: [Telemark Canal, hasLockSystem, Hogga Locks]
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hogga Locks
Target entity description: Hogga Locks is a historic multi-chamber lock system on Norway’s Telemark Canal, enabling boats to navigate a significant change in water level between connected lakes and waterways.
  • A. Agigea Lock
    Agigea Lock is a major navigation lock on Romania’s Danube–Black Sea Canal that enables ships to transit between the Danube River and the Black Sea by managing water level differences.
  • B. Wizard’s Well
    Wizard’s Well is a historic, carved spring on Alderley Edge in Cheshire, England, associated with local legends of a sleeping army and a mysterious wizard.
  • C. Rivenhall
    Rivenhall is a village in Essex, England, notable for hosting the headquarters of the Essex County Fire and Rescue Service.
  • D. Hammerbrook
    Hammerbrook is an inner-city district of Hamburg, Germany, known for its canals, commercial areas, and post-war redevelopment.
  • E. Lakenhal
    Lakenhal is a historic museum in Leiden, Netherlands, housed in a former cloth hall and known for its collection of Dutch Golden Age art.
  • F. None of above. chosen

Provenance (4 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a6842388190940235198fa50041 completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019566da6c819083b59e0911d02bd5 completed May 11, 2026, 8:37 a.m.
NEDg Description generation batch_6a01962ae4848190b2aad8e19bf6522f in_progress May 11, 2026, 8:41 a.m.
Created at: April 10, 2026, 5:44 a.m.