Triple

T11618170
Position Surface form Disambiguated ID Type / Status
Subject Seven-thousanders of the Karakoram E275561 entity
Predicate contains P35 FINISHED
Object K12
K12 is a major 7,000-meter-class mountain in the Karakoram range, known for its remote location and challenging climbing conditions.
 E937133 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: K12 | Statement: [Seven-thousanders of the Karakoram, contains, K12]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K12
Context triple: [Seven-thousanders of the Karakoram, contains, K12]
  • A. EDU
    EDU is the commonly used abbreviation for the European Defence Union, a proposed framework for deeper military and security cooperation among European Union member states.
  • B. Edu
    Edu is a local government area in Kwara State, Nigeria, known for its predominantly Nupe-speaking communities and agrarian economy.
  • C. Edu
    Edu is a common shortened form of the given name Eduardo, often used as an informal nickname.
  • D. K College
    K College is a private liberal arts college in Kalamazoo, Michigan, known for its rigorous academics, study abroad programs, and emphasis on experiential learning.
  • E. KVS
    KVS is the abbreviation for the Royal Society of Sciences in Uppsala, one of Sweden’s oldest scientific academies dedicated to advancing research and scholarship.
  • 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: K12
Triple: [Seven-thousanders of the Karakoram, contains, K12]
Generated description
K12 is a major 7,000-meter-class mountain in the Karakoram range, known for its remote location and challenging climbing conditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K12
Target entity description: K12 is a major 7,000-meter-class mountain in the Karakoram range, known for its remote location and challenging climbing conditions.
  • A. EDU
    EDU is the commonly used abbreviation for the European Defence Union, a proposed framework for deeper military and security cooperation among European Union member states.
  • B. Edu
    Edu is a common shortened form of the given name Eduardo, often used as an informal nickname.
  • C. Edu
    Edu is a local government area in Kwara State, Nigeria, known for its predominantly Nupe-speaking communities and agrarian economy.
  • D. K College
    K College is a private liberal arts college in Kalamazoo, Michigan, known for its rigorous academics, study abroad programs, and emphasis on experiential learning.
  • E. KVS
    KVS is the abbreviation for the Royal Society of Sciences in Uppsala, one of Sweden’s oldest scientific academies dedicated to advancing research and scholarship.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69ee9cf692e08190b135de0bd7f96274 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:38 p.m.