Triple

T10795635
Position Surface form Disambiguated ID Type / Status
Subject Maya Devi Temple, Haridwar E254696 entity
Predicate nearbyCity P350 FINISHED
Object Rishikesh E238543 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: Rishikesh | Statement: [Maya Devi Temple, Haridwar, nearbyCity, Rishikesh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rishikesh
Context triple: [Maya Devi Temple, Haridwar, nearbyCity, Rishikesh]
  • A. Rishikesh chosen
    Rishikesh is a renowned town in the Indian state of Uttarakhand, famous as a center for yoga, meditation, and spiritual tourism along the banks of the Ganges River.
  • B. Haridwar
    Haridwar is a major pilgrimage city in the Indian state of Uttarakhand, revered as one of Hinduism’s holiest sites and a key gateway to the Himalayas.
  • C. Mussoorie
    Mussoorie is a popular hill station in the Indian state of Uttarakhand, known for its scenic Himalayan views, colonial-era architecture, and role as a major educational and administrative training hub.
  • D. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • E. Dehradun
    Dehradun is the capital city of the Indian state of Uttarakhand, known for its scenic Himalayan foothills, educational institutions, and role as a gateway to nearby hill stations and pilgrimage sites.
  • 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_69d6aa61c15c8190a1839550c56e75e1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733321dd881909dcd4224dfa9822a completed April 9, 2026, 5:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0c85d288190b13b1bc66921332c completed April 14, 2026, 9:25 p.m.
Created at: April 8, 2026, 9:17 p.m.