Triple

T17003421
Position Surface form Disambiguated ID Type / Status
Subject Hunza E412505 entity
Predicate hasLake P1025 FINISHED
Object Attabad Lake E89584 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: Attabad Lake | Statement: [Hunza, hasLake, Attabad Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Attabad Lake
Context triple: [Hunza, hasLake, Attabad Lake]
  • A. Attabad Lake chosen
    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.
  • B. Keenjhar Lake
    Keenjhar Lake is one of Pakistan’s largest freshwater lakes and a popular ecological, recreational, and cultural site in Sindh province.
  • C. Attabad
    Attabad is a village in the Hunza Valley of Gilgit-Baltistan, Pakistan, known for being partially submerged and displaced by the formation of Attabad Lake after a massive landslide in 2010.
  • D. Abha Dam Lake
    Abha Dam Lake is a scenic artificial reservoir and popular recreational spot located near the city of Abha in southwestern Saudi Arabia.
  • E. Mangla Lake
    Mangla Lake is a large artificial reservoir in Pakistan, created by the Mangla Dam on the Jhelum River and used for irrigation, hydropower generation, and recreation.
  • 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_69d886cb581c8190ab05f4b429c9cd85 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d37f8ba88190b8d32a1d09b6e6fd completed April 18, 2026, 6:54 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00dc2035848190bf299875d37c8ac7 completed May 10, 2026, 7:27 p.m.
Created at: April 10, 2026, 5:32 a.m.