Triple

T7238774
Position Surface form Disambiguated ID Type / Status
Subject Mutha River E155300 entity
Predicate hasDam P8736 FINISHED
Object Khadakwasla Dam E401512 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: Khadakwasla Dam | Statement: [Mutha River, hasDam, Khadakwasla Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khadakwasla Dam
Context triple: [Mutha River, hasDam, Khadakwasla Dam]
  • A. Khadakwasla Dam chosen
    Khadakwasla Dam is a major masonry dam near Pune, India, that creates the Khadakwasla Lake reservoir and serves as a key source of water for the city and surrounding region.
  • B. Satpara Dam
    Satpara Dam is a multipurpose concrete dam in Gilgit-Baltistan, Pakistan, built to generate hydroelectric power, provide irrigation, and supply drinking water using the waters of Satpara Lake.
  • C. 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.
  • D. Bhushi Dam
    Bhushi Dam is a popular masonry dam and scenic picnic spot near Lonavala in Maharashtra, India, known for its cascading water steps and monsoon-time crowds.
  • E. Navilatirtha Dam
    Navilatirtha Dam is a major irrigation and water management structure built across the Malaprabha River in Karnataka, India.
  • 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_69c688143bfc81908d4176617735e601 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ea368fb88190bd9e991e8b94dac6 completed March 27, 2026, 8:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7cc3d75b48190916bf327396f2666 completed March 28, 2026, 12:40 p.m.
Created at: March 27, 2026, 2:55 p.m.