Triple

T9950085
Position Surface form Disambiguated ID Type / Status
Subject Ujjani Dam E195306 entity
Predicate alsoKnownAs P39 FINISHED
Object Bhima Dam E196464 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: Bhima Dam | Statement: [Ujjani Dam, alsoKnownAs, Bhima Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bhima Dam
Context triple: [Ujjani Dam, alsoKnownAs, Bhima Dam]
  • A. Bhima Dam chosen
    Bhima Dam is a major irrigation and water management structure built across the Bhima River in India.
  • B. 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.
  • C. Ghataprabha Dam
    Ghataprabha Dam is a major irrigation and hydroelectric dam in Karnataka, India, built across the Ghataprabha River to support agriculture and water supply in the region.
  • D. Malaprabha Dam
    Malaprabha Dam is a major irrigation and water-supply dam built across the Malaprabha River in Karnataka, India.
  • E. Bisalpur Dam
    Bisalpur Dam is a major reservoir and water supply dam in Rajasthan, India, crucial for providing drinking water and irrigation to several nearby cities and regions.
  • 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_69ca82e96a108190932bd1fc4acd73a0 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb65a4e6c8190968192a24aad1b7d completed April 2, 2026, 12:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d5c6fdc81909b44d0b321201222 completed April 5, 2026, 10:45 a.m.
Created at: March 30, 2026, 8:45 p.m.