Triple

T1275130
Position Surface form Disambiguated ID Type / Status
Subject Pennine Alps E15796 entity
Predicate contains P35 FINISHED
Object Lagginhorn
Lagginhorn is a prominent 4,000-meter-class mountain in the Swiss Pennine Alps, known for its relatively accessible routes and panoramic views over the surrounding Valais peaks.
 E147698 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: Lagginhorn | Statement: [Pennine Alps, contains, Lagginhorn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lagginhorn
Context triple: [Pennine Alps, contains, Lagginhorn]
  • A. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • B. Heage
    Heage is a village in Derbyshire, England, best known for its historic stone tower windmill and rural setting.
  • C. Hinteri Egg
    Hinteri Egg is a mountain peak in Switzerland that forms the highest point of the canton of Basel-Landschaft.
  • D. Lion's Head
    Lion's Head is a prominent, cone-shaped mountain peak in Cape Town, South Africa, popular for its hiking trails and panoramic views of the city and coastline.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • 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: Lagginhorn
Triple: [Pennine Alps, contains, Lagginhorn]
Generated description
Lagginhorn is a prominent 4,000-meter-class mountain in the Swiss Pennine Alps, known for its relatively accessible routes and panoramic views over the surrounding Valais peaks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lagginhorn
Target entity description: Lagginhorn is a prominent 4,000-meter-class mountain in the Swiss Pennine Alps, known for its relatively accessible routes and panoramic views over the surrounding Valais peaks.
  • A. Tackley
    Tackley is a rural village in Oxfordshire, England, known for its traditional English countryside setting and historic character.
  • B. Heage
    Heage is a village in Derbyshire, England, best known for its historic stone tower windmill and rural setting.
  • C. Hinteri Egg
    Hinteri Egg is a mountain peak in Switzerland that forms the highest point of the canton of Basel-Landschaft.
  • D. Lion's Head
    Lion's Head is a prominent, cone-shaped mountain peak in Cape Town, South Africa, popular for its hiking trails and panoramic views of the city and coastline.
  • E. Schaumainkai
    Schaumainkai is a prominent riverside street along the south bank of the Main River in Frankfurt, Germany, known for its concentration of major museums and cultural institutions.
  • 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_69a4935a94308190bb92555b79032824 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4c06ee22081908141868b57596e35 completed March 1, 2026, 10:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69acacb7ee8c819084ef29881b2274cb completed March 7, 2026, 10:54 p.m.
NEDg Description generation batch_69acad20da088190a3b55a5d46e8d951 completed March 7, 2026, 10:56 p.m.
NED2 Entity disambiguation (via description) batch_69acae0392fc8190b644f4b233bbc3ff completed March 7, 2026, 11 p.m.
Created at: March 1, 2026, 7:50 p.m.