Triple

T8977639
Position Surface form Disambiguated ID Type / Status
Subject Mangla E214433 entity
Predicate tourismAttraction P530 FINISHED
Object Mangla Lake E542682 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 Lake | Statement: [Mangla, tourismAttraction, Mangla Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangla Lake
Context triple: [Mangla, tourismAttraction, Mangla Lake]
  • A. Mangla Lake chosen
    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.
  • B. Lulusar Lake
    Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
  • 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. Bala Lake
    Bala Lake is the largest natural lake in Wales, renowned for its scenic surroundings and popularity for boating, fishing, and watersports.
  • E. Rawal Lake
    Rawal Lake is an artificial reservoir and popular recreational spot located near Islamabad in Pakistan’s Margalla Hills foothills.
  • 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_69cfd0afe9688190bdd66198ab31c2c7 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:02 p.m.