Triple

T11804139
Position Surface form Disambiguated ID Type / Status
Subject Kaghan E280700 entity
Predicate hasAttraction P105 FINISHED
Object Lulusar Lake E266754 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: Lulusar Lake | Statement: [Kaghan, hasAttraction, Lulusar Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lulusar Lake
Context triple: [Kaghan, hasAttraction, Lulusar Lake]
  • A. Lulusar Lake chosen
    Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
  • B. Satpara Lake
    Satpara Lake is a high-altitude natural lake near Skardu in northern Pakistan, known for its turquoise waters, surrounding rugged mountains, and role as a key freshwater and hydroelectric resource for the region.
  • C. Sarangan Lake
    Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
  • D. 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.
  • E. Vihar Lake
    Vihar Lake is an artificial freshwater reservoir in Mumbai, India, that serves as one of the city’s important sources of drinking water and lies within the Sanjay Gandhi National Park.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a5589408190a0bc8f3731a8669f completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:42 p.m.