Triple

T14841869
Position Surface form Disambiguated ID Type / Status
Subject Nigeen Lake E348983 entity
Predicate connectedTo P37 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: [Nigeen Lake, connectedTo, Dal Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dal Lake
Context triple: [Nigeen Lake, connectedTo, 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. Dal Lake (Dharamshala)
    Dal Lake (Dharamshala) is a small, scenic high-altitude lake in Himachal Pradesh, India, known for its deodar forest surroundings and as a popular spot for picnics and religious visits.
  • C. Naini Lake
    Naini Lake is a picturesque, kidney-shaped freshwater lake in the Himalayan hill town of Nainital, India, renowned as a popular boating and tourist destination.
  • D. Rawal Lake
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • E. 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.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded28fa49c81908d1059e6cafd607f completed April 14, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe64fe89e88190912cd205feef85d3 completed May 8, 2026, 10:34 p.m.
Created at: April 10, 2026, 1:53 a.m.