Triple

T13591652
Position Surface form Disambiguated ID Type / Status
Subject KRS E324705 entity
Predicate alsoKnownAs P39 FINISHED
Object Krishna Raja Sagara E64346 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: Krishna Raja Sagara | Statement: [KRS, alsoKnownAs, Krishna Raja Sagara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krishna Raja Sagara
Context triple: [KRS, alsoKnownAs, Krishna Raja Sagara]
  • A. Krishna Raja Sagara Dam chosen
    Krishna Raja Sagara Dam is a major masonry dam in Karnataka, India, built across the Kaveri River and known for forming the large KRS reservoir and the Brindavan Gardens.
  • B. Kolar Dam
    Kolar Dam is a reservoir and irrigation structure built on the Kolar River in Madhya Pradesh, India, primarily used for water supply and agricultural purposes.
  • C. Bhavanisagar Dam
    Bhavanisagar Dam is a major masonry dam in Tamil Nadu, India, known for irrigation, flood control, and hydroelectric power generation.
  • D. Tungabhadra Dam
    Tungabhadra Dam is a major multipurpose masonry dam in Karnataka, India, known for irrigation, hydroelectric power generation, and flood control on the Tungabhadra River.
  • E. Sanjeevaiah Sagar Dam
    Sanjeevaiah Sagar Dam is a major irrigation and water storage structure built across the Penna River in the Indian state of Andhra Pradesh.
  • 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_69d80769eaf081909d82f44e484d6113 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbb056ce088190a6feb4266633d18b completed April 12, 2026, 2:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f79d3f80c081908710b46a42fb13a3 completed May 3, 2026, 7:08 p.m.
Created at: April 9, 2026, 9:49 p.m.