Triple

T7671769
Position Surface form Disambiguated ID Type / Status
Subject Thatta District E173764 entity
Predicate hasLake P1025 FINISHED
Object Keenjhar Lake E681144 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: Keenjhar Lake | Statement: [Thatta District, hasLake, Keenjhar Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keenjhar Lake
Context triple: [Thatta District, hasLake, Keenjhar Lake]
  • A. Keenjhar Lake chosen
    Keenjhar Lake is one of Pakistan’s largest freshwater lakes and a popular ecological, recreational, and cultural site in Sindh province.
  • B. Shandur Lake
    Shandur Lake is a high-altitude alpine lake in northern Pakistan, renowned for its scenic beauty near the famous Shandur Pass and its surrounding polo festival grounds.
  • C. Rawal Lake
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • 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. Attabad Lake
    Attabad Lake is a striking turquoise-colored lake in northern Pakistan that was formed in 2010 after a massive landslide dammed the Hunza River, submerging nearby villages and creating a major tourist attraction.
  • 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_69c699562484819086752091e3164a27 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c701de94208190a7627521211452dc completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac9818fc81908d65c03702fc1453 completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 4 p.m.