Triple

T16900137
Position Surface form Disambiguated ID Type / Status
Subject Koko Nor E424412 entity
Predicate alsoKnownAs P39 FINISHED
Object Tso Ngön
Tso Ngön is the Tibetan name for Qinghai Lake, a large saline lake on the northeastern Tibetan Plateau in China.
 E1239343 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: Tso Ngön | Statement: [Koko Nor, alsoKnownAs, Tso Ngön]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tso Ngön
Context triple: [Koko Nor, alsoKnownAs, Tso Ngön]
  • A. Gyalshing
    Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
  • B. Thorang La
    Thorang La is a high mountain pass in the Annapurna region of Nepal, renowned as one of the highest trekking passes in the world and a key point on the Annapurna Circuit.
  • C. Paro Chhu
    Paro Chhu is a river in western Bhutan that flows through the Paro Valley, passing by the town of Paro and its nearby international airport.
  • D. Kangtega
    Kangtega is a prominent Himalayan peak in Nepal’s Khumbu region, known for its distinctive saddle-shaped summit and challenging climbing routes.
  • E. Gyong La
    Gyong La is a high-altitude mountain pass in the eastern Karakoram, strategically located near the Siachen Glacier in the disputed India–Pakistan border region.
  • 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: Tso Ngön
Triple: [Koko Nor, alsoKnownAs, Tso Ngön]
Generated description
Tso Ngön is the Tibetan name for Qinghai Lake, a large saline lake on the northeastern Tibetan Plateau in China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tso Ngön
Target entity description: Tso Ngön is the Tibetan name for Qinghai Lake, a large saline lake on the northeastern Tibetan Plateau in China.
  • A. Gyalshing
    Gyalshing is a town in the Indian state of Sikkim that serves as an important local commercial and administrative center in the region.
  • B. Thorang La
    Thorang La is a high mountain pass in the Annapurna region of Nepal, renowned as one of the highest trekking passes in the world and a key point on the Annapurna Circuit.
  • C. Paro Chhu
    Paro Chhu is a river in western Bhutan that flows through the Paro Valley, passing by the town of Paro and its nearby international airport.
  • D. Kangtega
    Kangtega is a prominent Himalayan peak in Nepal’s Khumbu region, known for its distinctive saddle-shaped summit and challenging climbing routes.
  • E. Gyong La
    Gyong La is a high-altitude mountain pass in the eastern Karakoram, strategically located near the Siachen Glacier in the disputed India–Pakistan border region.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8dbc6e48190be90066b82fc61db completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b0783c81909c87de503d5e7e3c completed May 10, 2026, 6 p.m.
NEDg Description generation batch_6a00c830f7ac8190ae25232f88e9774b completed May 10, 2026, 6:02 p.m.
NED2 Entity disambiguation (via description) batch_6a00c8aa5aac8190be5f79f992c8a0ec completed May 10, 2026, 6:04 p.m.
Created at: April 10, 2026, 5:29 a.m.