Triple

T12953882
Position Surface form Disambiguated ID Type / Status
Subject Picket Range E309960 entity
Predicate contains P35 FINISHED
Object Ottohorn
Ottohorn is a mountain peak located within the Picket Range of the North Cascades in Washington State, known for its rugged terrain and challenging climbing routes.
 E1012804 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: Ottohorn | Statement: [Picket Range, contains, Ottohorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ottohorn
Context triple: [Picket Range, contains, Ottohorn]
  • A. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • B. Roßhaupten
    Roßhaupten is a small Bavarian municipality in southern Germany, known for its scenic location in the Allgäu region near the Alps and popular lakes.
  • C. Brennkogel
    Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
  • D. Weißenhorn
    Weißenhorn is a historic small town in the Bavarian region of Swabia, Germany, known for its well-preserved old town and traditional architecture.
  • E. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • 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: Ottohorn
Triple: [Picket Range, contains, Ottohorn]
Generated description
Ottohorn is a mountain peak located within the Picket Range of the North Cascades in Washington State, known for its rugged terrain and challenging climbing routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ottohorn
Target entity description: Ottohorn is a mountain peak located within the Picket Range of the North Cascades in Washington State, known for its rugged terrain and challenging climbing routes.
  • A. Schrankogel
    Schrankogel is one of the highest and most prominent mountains in the Stubai Alps of Tyrol, Austria, popular with experienced alpine climbers.
  • B. Roßhaupten
    Roßhaupten is a small Bavarian municipality in southern Germany, known for its scenic location in the Allgäu region near the Alps and popular lakes.
  • C. Brennkogel
    Brennkogel is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
  • D. Weißenhorn
    Weißenhorn is a historic small town in the Bavarian region of Swabia, Germany, known for its well-preserved old town and traditional architecture.
  • E. Nadelhorn
    Nadelhorn is a prominent 4,000-meter-class peak in the Swiss Alps, known for its sharp, needle-like summit and popular alpine climbing routes.
  • 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_69d7bdfb57a88190836b743e2825feca completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d97e2b0108819098a681f93e90dbda completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8dc135c819091b7708d90db25cb completed May 3, 2026, 2:54 a.m.
NEDg Description generation batch_69f6b9dac2c88190850304023f156969 completed May 3, 2026, 2:58 a.m.
NED2 Entity disambiguation (via description) batch_69f6bb2602848190b9588134c71d0ef4 completed May 3, 2026, 3:04 a.m.
Created at: April 9, 2026, 5:44 p.m.