Triple

T7491250
Position Surface form Disambiguated ID Type / Status
Subject Ghunsa E177008 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Kambachen
Kambachen is a small high-altitude village in eastern Nepal’s Kanchenjunga region, serving as a popular stopover for trekkers heading toward the mountain’s northern base camp.
 E671761 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: Kambachen | Statement: [Ghunsa, hasNearbySettlement, Kambachen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kambachen
Context triple: [Ghunsa, hasNearbySettlement, Kambachen]
  • A. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • B. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • C. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • D. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • E. Kori
    Kori is a dialect of the Kaili language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • 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: Kambachen
Triple: [Ghunsa, hasNearbySettlement, Kambachen]
Generated description
Kambachen is a small high-altitude village in eastern Nepal’s Kanchenjunga region, serving as a popular stopover for trekkers heading toward the mountain’s northern base camp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kambachen
Target entity description: Kambachen is a small high-altitude village in eastern Nepal’s Kanchenjunga region, serving as a popular stopover for trekkers heading toward the mountain’s northern base camp.
  • A. Karmanor
    Karmanor is a minor figure in Greek mythology known as a Cretan hero or priest associated with the goddess Demeter.
  • B. Timbiša
    Timbiša is a Native American language of the Timbisha Shoshone people, traditionally spoken in the Death Valley region of California and Nevada.
  • C. Wonokitri
    Wonokitri is a village in East Java, Indonesia, known as a gateway settlement for visitors heading to the Mount Bromo area.
  • D. Pischa
    Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
  • E. Kori
    Kori is a dialect of the Kaili language, an Austronesian language spoken in Central Sulawesi, Indonesia.
  • 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_69c69f2583808190bd1a4936c42a5815 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5767d3481909a9a0e099cc02d03 completed March 27, 2026, 9:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84eefbcec8190bef282452aaf5515 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c850b5b77c8190abab52a634a918f7 completed March 28, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_69c8510c66d8819095f442f6acf52e32 completed March 28, 2026, 10:07 p.m.
Created at: March 27, 2026, 3:43 p.m.