Triple

T17430133
Position Surface form Disambiguated ID Type / Status
Subject Seven-thousanders of the Pamirs E423846 entity
Predicate hasMember P10 FINISHED
Object Pik 35
Pik 35 is a high-altitude mountain peak in the Pamir range, rising above 7,000 meters and notable among the region’s major summits.
E1276286 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: Pik 35 | Statement: [Seven-thousanders of the Pamirs, hasMember, Pik 35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pik 35
Context triple: [Seven-thousanders of the Pamirs, hasMember, Pik 35]
  • A. Pik 33
    Pik 33 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters above sea level.
  • B. Pik 30
    Pik 30 is a prominent over-7,000-meter mountain peak in the Pamir range of Central Asia.
  • C. Pik 34
    Pik 34 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters and known as one of the region’s notable “seven-thousanders.”
  • D. Pik 31
    Pik 31 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters above sea level.
  • E. Pik 32
    Pik 32 is a high-altitude mountain peak exceeding 7,000 meters located in the Pamir mountain range of Central Asia.
  • 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: Pik 35
Triple: [Seven-thousanders of the Pamirs, hasMember, Pik 35]
Generated description
Pik 35 is a high-altitude mountain peak in the Pamir range, rising above 7,000 meters and notable among the region’s major summits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pik 35
Target entity description: Pik 35 is a high-altitude mountain peak in the Pamir range, rising above 7,000 meters and notable among the region’s major summits.
  • A. Pik 33
    Pik 33 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters above sea level.
  • B. Pik 30
    Pik 30 is a prominent over-7,000-meter mountain peak in the Pamir range of Central Asia.
  • C. Pik 34
    Pik 34 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters and known as one of the region’s notable “seven-thousanders.”
  • D. Pik 31
    Pik 31 is a high-altitude mountain peak in the Pamir range, rising over 7,000 meters above sea level.
  • E. Pik 32
    Pik 32 is a high-altitude mountain peak exceeding 7,000 meters located in the Pamir mountain range of Central Asia.
  • 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e448ffb9c8819099fabfeebdc06883 completed April 19, 2026, 3:16 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01ddd672108190b96d1c0a0d9415bc completed May 11, 2026, 1:47 p.m.
NEDg Description generation batch_6a01dfa1ccd88190b5da20d8ddd1b77e completed May 11, 2026, 1:54 p.m.
NED2 Entity disambiguation (via description) batch_6a01e042dddc819094ecb50f7d449b9e completed May 11, 2026, 1:57 p.m.
Created at: April 10, 2026, 5:46 a.m.