Triple

T14905772
Position Surface form Disambiguated ID Type / Status
Subject Bigelow Mountain E360125 entity
Predicate hasSummit P8024 FINISHED
Object North Horn
North Horn is a prominent subpeak of Maine’s Bigelow Mountain range, known for its rugged terrain and scenic alpine views.
E1127587 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: North Horn | Statement: [Bigelow Mountain, hasSummit, North Horn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: North Horn
Context triple: [Bigelow Mountain, hasSummit, North Horn]
  • A. Tallurutiup Imanga
    Tallurutiup Imanga is a culturally and ecologically significant Arctic waterway in Nunavut, Canada, known as a rich marine habitat and an important area for Inuit communities.
  • B. Mount Bearskin
    Mount Bearskin is a notable peak in Antarctica’s Ellsworth Mountains, rising within the Sentinel Range of Western Antarctica.
  • C. Koma Kulshan
    Koma Kulshan is the Indigenous (primarily Lummi) name for Mount Baker, a prominent glaciated stratovolcano in the North Cascades of Washington State.
  • D. Mount Allan
    Mount Allan is a mountain in the Kananaskis region of the Canadian Rockies, known for hosting the Nakiska ski area built for the 1988 Calgary Winter Olympics.
  • E. Tiquisate
    Tiquisate is a town and municipality in southern Guatemala known for its agricultural production, particularly sugarcane and bananas.
  • 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: North Horn
Triple: [Bigelow Mountain, hasSummit, North Horn]
Generated description
North Horn is a prominent subpeak of Maine’s Bigelow Mountain range, known for its rugged terrain and scenic alpine views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: North Horn
Target entity description: North Horn is a prominent subpeak of Maine’s Bigelow Mountain range, known for its rugged terrain and scenic alpine views.
  • A. Tallurutiup Imanga
    Tallurutiup Imanga is a culturally and ecologically significant Arctic waterway in Nunavut, Canada, known as a rich marine habitat and an important area for Inuit communities.
  • B. Mount Bearskin
    Mount Bearskin is a notable peak in Antarctica’s Ellsworth Mountains, rising within the Sentinel Range of Western Antarctica.
  • C. Koma Kulshan
    Koma Kulshan is the Indigenous (primarily Lummi) name for Mount Baker, a prominent glaciated stratovolcano in the North Cascades of Washington State.
  • D. Mount Allan
    Mount Allan is a mountain in the Kananaskis region of the Canadian Rockies, known for hosting the Nakiska ski area built for the 1988 Calgary Winter Olympics.
  • E. Tiquisate
    Tiquisate is a town and municipality in southern Guatemala known for its agricultural production, particularly sugarcane and bananas.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60cd5588190b1efecc2b220da69 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b7640c8190b463f69fb67fd30a completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe771e361481908b58eb38f804f650 completed May 8, 2026, 11:51 p.m.
NED2 Entity disambiguation (via description) batch_69fe77fef3d88190afbd7839c4625226 completed May 8, 2026, 11:55 p.m.
Created at: April 10, 2026, 2:12 a.m.