Triple

T8309766
Position Surface form Disambiguated ID Type / Status
Subject Khumbu E194560 entity
Predicate contains P35 FINISHED
Object Pheriche
Pheriche is a small Sherpa village in Nepal’s Khumbu region, commonly used as an acclimatization and rest stop for trekkers and climbers heading toward Everest Base Camp.
 E725067 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: Pheriche | Statement: [Khumbu, contains, Pheriche]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pheriche
Context triple: [Khumbu, contains, Pheriche]
  • A. Kepez
    Kepez is a populous district and municipality within the city of Antalya in southern Turkey, known for its residential areas and growing urban infrastructure.
  • B. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • C. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • D. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • E. Tacna
    Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • 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: Pheriche
Triple: [Khumbu, contains, Pheriche]
Generated description
Pheriche is a small Sherpa village in Nepal’s Khumbu region, commonly used as an acclimatization and rest stop for trekkers and climbers heading toward Everest Base Camp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pheriche
Target entity description: Pheriche is a small Sherpa village in Nepal’s Khumbu region, commonly used as an acclimatization and rest stop for trekkers and climbers heading toward Everest Base Camp.
  • A. Kepez
    Kepez is a populous district and municipality within the city of Antalya in southern Turkey, known for its residential areas and growing urban infrastructure.
  • B. Takelsa
    Takelsa is a coastal town in northeastern Tunisia known for its agriculture and location within the Nabeul region on the Cap Bon peninsula.
  • C. Yumbel
    Yumbel is a small Chilean city known for its religious festivities and agricultural surroundings in the Biobío Region.
  • D. Salcha
    Salcha is a small unincorporated community in interior Alaska, known for its rural setting along the Tanana River southeast of Fairbanks.
  • E. Tacna
    Tacna is a southern Peruvian city near the Chilean border, known for its role in the War of the Pacific and its status as a commercial and cultural hub.
  • 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_69ca82e613e88190bf8139669bbd0d53 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7f2d2c30819095075940479b75a7 completed March 31, 2026, 8 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd95665390819089c8becad018cf51 completed April 1, 2026, 10 p.m.
NEDg Description generation batch_69cda62070888190b55b3f54d29e28e7 completed April 1, 2026, 11:11 p.m.
NED2 Entity disambiguation (via description) batch_69cdb21a65d88190a19dd41f95d173c8 completed April 2, 2026, 12:02 a.m.
Created at: March 30, 2026, 5:54 p.m.