Triple

T7851093
Position Surface form Disambiguated ID Type / Status
Subject canton of Uri E182054 entity
Predicate highestPoint P210 FINISHED
Object Dammastock
Dammastock is a prominent mountain in the Urner Alps of Switzerland, known for its extensive glaciation and popularity among mountaineers.
 E699999 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: Dammastock | Statement: [canton of Uri, highestPoint, Dammastock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dammastock
Context triple: [canton of Uri, highestPoint, Dammastock]
  • A. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • B. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • C. Sintermaris
    Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
  • D. Silverbar
    Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
  • E. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • 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: Dammastock
Triple: [canton of Uri, highestPoint, Dammastock]
Generated description
Dammastock is a prominent mountain in the Urner Alps of Switzerland, known for its extensive glaciation and popularity among mountaineers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dammastock
Target entity description: Dammastock is a prominent mountain in the Urner Alps of Switzerland, known for its extensive glaciation and popularity among mountaineers.
  • A. Snekkersten
    Snekkersten is a coastal village in North Zealand, Denmark, known for its seaside location along the Øresund Strait and its proximity to the town of Helsingør.
  • B. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • C. Sintermaris
    Sintermaris is an alternative historical or Latin name for the French town of Saint-Omer in the Pas-de-Calais region.
  • D. Silverbar
    Silverbar is a central fish character in Rachel Carson’s nature book "Under the Sea-Wind," used to vividly portray marine life and ocean ecology.
  • E. Shadbolt
    Shadbolt is a surname most notably associated with Sir Nigel Shadbolt, a prominent British computer scientist and artificial intelligence researcher.
  • 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_69ca82869ee08190b8f9040dbc2c0467 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb18eaac508190bf373b1d50b52e1e completed March 31, 2026, 12:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5b0d95748190a202258214dda2ae completed March 31, 2026, 5:26 a.m.
NEDg Description generation batch_69cb762eab0881909c5035b3086dfdd9 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb801cc0c8190864d28e199eb5e67 completed March 31, 2026, 12:03 p.m.
Created at: March 30, 2026, 4:50 p.m.