Triple

T14681057
Position Surface form Disambiguated ID Type / Status
Subject Kushalnagar E344783 entity
Predicate hasNearbyAttraction P2064 FINISHED
Object Harangi Dam E65069 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: Harangi Dam | Statement: [Kushalnagar, hasNearbyAttraction, Harangi Dam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harangi Dam
Context triple: [Kushalnagar, hasNearbyAttraction, Harangi Dam]
  • A. Harangi Dam chosen
    Harangi Dam is a masonry dam built across the Harangi River, a tributary of the Kaveri, in Karnataka, India, primarily used for irrigation and water storage.
  • B. Lodoyo Dam
    Lodoyo Dam is a water control and irrigation structure located on the Brantas River in East Java, Indonesia.
  • C. Kallanai Dam
    Kallanai Dam is an ancient stone masonry dam built across the Kaveri River in Tamil Nadu, India, renowned as one of the world’s oldest water-regulation structures still in use.
  • D. Pubugou Dam
    Pubugou Dam is a large hydroelectric gravity dam in Sichuan, China, known for its significant power generation capacity and its role in flood control and regional development along the Dadu River.
  • E. Yonki Dam
    Yonki Dam is a major hydroelectric dam in Papua New Guinea that supplies significant power to the country’s highlands region.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb5692284819090f775be8e478522 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde182dab08190aac2ff2db666ee69 completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:28 a.m.