Triple

T12222812
Position Surface form Disambiguated ID Type / Status
Subject Babusar Pass E291261 entity
Predicate near P350 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: [Babusar Pass, near, Lulusar Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lulusar Lake
Context triple: [Babusar Pass, near, 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. Amarsagar Lake
    Amarsagar Lake is a scenic freshwater lake in Udaipur, Tripura, known for its tranquil surroundings and cultural significance to the local community.
  • C. 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.
  • D. Sarangan Lake
    Sarangan Lake is a popular natural mountain lake and tourist destination located in the highlands of Magetan, East Java, Indonesia.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c961d648190ad6ce5f7d228eee4 completed April 10, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6717f930c8190ad4713f1040d552a completed May 2, 2026, 9:49 p.m.
Created at: April 8, 2026, 9:51 p.m.