Triple

T3181198
Position Surface form Disambiguated ID Type / Status
Subject Srinagar E66589 entity
Predicate hasLake P1025 FINISHED
Object Dal Lake E333224 NE FINISHED

How this triple was built (2 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: Dal Lake | Statement: [Srinagar, hasLake, Dal Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dal Lake
Context triple: [Srinagar, hasLake, Dal Lake]
  • A. Dal Lake chosen
    Dal Lake is a famous urban lake in Srinagar, Jammu and Kashmir, renowned for its houseboats, shikara rides, and surrounding Himalayan scenery.
  • B. Rawal Lake
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • C. Swaroop Sagar Lake
    Swaroop Sagar Lake is a man-made freshwater lake in Udaipur, Rajasthan, that forms part of the city’s interconnected lake system and helps regulate its water levels.
  • D. Sukhna Lake
    Sukhna Lake is a man-made reservoir at the foothills of the Shivalik range, known as a popular recreational and scenic spot in Chandigarh, India.
  • E. Doodh Talai Lake
    Doodh Talai Lake is a small scenic lake and popular tourist spot in Udaipur, Rajasthan, known for its surrounding gardens, viewpoints, and cultural attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ad8586a34c8190944c63ec11a8de1a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada6a1280c8190b59a2afd30312c02 completed March 8, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b777fe881909764e2f2cdb68479 completed March 12, 2026, 5:13 a.m.
Created at: March 8, 2026, 3:06 p.m.