Triple

T8977638
Position Surface form Disambiguated ID Type / Status
Subject Mangla E214433 entity
Predicate tourismAttraction P530 FINISHED
Object Mangla Dam E147120 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: Mangla Dam | Statement: [Mangla, tourismAttraction, Mangla Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangla Dam
Context triple: [Mangla, tourismAttraction, Mangla Dam]
  • A. Mangla Dam chosen
    Mangla Dam is a major multipurpose embankment dam in Pakistan, known for hydroelectric power generation, irrigation support, and being one of the largest dams in the country.
  • B. Nangal Dam
    Nangal Dam is a hydroelectric and irrigation dam located on the Sutlej River in the Indian state of Punjab.
  • C. Rana Pratap Sagar Dam
    Rana Pratap Sagar Dam is a major hydroelectric and irrigation dam in Rajasthan, India, forming part of the Chambal Valley project and creating the Rana Pratap Sagar reservoir.
  • D. Rawal Dam
    Rawal Dam is a water reservoir structure near Islamabad, Pakistan, built to store and supply water from Rawal Lake for the surrounding region.
  • E. Nathpa Jhakri Dam
    Nathpa Jhakri Dam is a major hydroelectric dam and power project in Himachal Pradesh, India, known as one of the country’s largest underground hydroelectric installations.
  • 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_69ca839ea8b88190922c6a326ffcc0d3 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc67a33c8481909125acf4b7f0a919 completed April 1, 2026, 12:32 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb44b97c81908704d9ecf778010e completed April 3, 2026, 4:31 p.m.
Created at: March 30, 2026, 7:02 p.m.