Triple

T5587056
Position Surface form Disambiguated ID Type / Status
Subject Sukhna Lake E146781 entity
Predicate locatedOn P40 FINISHED
Object Sukhna Choe
Sukhna Choe is a seasonal stream in Chandigarh, India, that feeds and helps sustain the man-made Sukhna Lake.
 E528778 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: Sukhna Choe | Statement: [Sukhna Lake, locatedOn, Sukhna Choe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sukhna Choe
Context triple: [Sukhna Lake, locatedOn, Sukhna Choe]
  • A. Wang Chhu
    Wang Chhu is a significant river in western Bhutan that flows south into India, supporting agriculture, hydropower, and settlements along its valley.
  • B. Mo Chhu
    Mo Chhu is a major river in western Bhutan that flows through the Punakha Valley and contributes significantly to the country’s river system and hydropower resources.
  • C. Kongde Ri
    Kongde Ri is a prominent Himalayan peak in Nepal known for its striking multi-summited massif overlooking the Everest region.
  • D. Pak Yong
    Pak Yong is a stock male character in the traditional Malay dance-drama Mak Yong, often portrayed as a comic or supporting figure.
  • E. Pho Chhu
    Pho Chhu is a major river in Bhutan that flows through the Punakha Valley, known for its scenic beauty and the Punakha Dzong situated at its confluence with another river.
  • 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: Sukhna Choe
Triple: [Sukhna Lake, locatedOn, Sukhna Choe]
Generated description
Sukhna Choe is a seasonal stream in Chandigarh, India, that feeds and helps sustain the man-made Sukhna Lake.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sukhna Choe
Target entity description: Sukhna Choe is a seasonal stream in Chandigarh, India, that feeds and helps sustain the man-made Sukhna Lake.
  • A. Wang Chhu
    Wang Chhu is a significant river in western Bhutan that flows south into India, supporting agriculture, hydropower, and settlements along its valley.
  • B. Mo Chhu
    Mo Chhu is a major river in western Bhutan that flows through the Punakha Valley and contributes significantly to the country’s river system and hydropower resources.
  • C. Kongde Ri
    Kongde Ri is a prominent Himalayan peak in Nepal known for its striking multi-summited massif overlooking the Everest region.
  • D. Pak Yong
    Pak Yong is a stock male character in the traditional Malay dance-drama Mak Yong, often portrayed as a comic or supporting figure.
  • E. Pho Chhu
    Pho Chhu is a major river in Bhutan that flows through the Punakha Valley, known for its scenic beauty and the Punakha Dzong situated at its confluence with another river.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209d713081908b39ee8befb2faf7 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0286558b48190a8907c06111a48f3 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0350eb53081909dc573fefa3e7f0a completed March 22, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c036ee4e1c8190b9e60655d72407ff completed March 22, 2026, 6:37 p.m.
Created at: March 22, 2026, 3:38 p.m.