Triple

T10618581
Position Surface form Disambiguated ID Type / Status
Subject Baidhyanath Temple, Deoghar E295185 entity
Predicate locatedIn P40 FINISHED
Object Deoghar E295180 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: Deoghar | Statement: [Baidhyanath Temple, Deoghar, locatedIn, Deoghar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Deoghar
Context triple: [Baidhyanath Temple, Deoghar, locatedIn, Deoghar]
  • A. Deoghar chosen
    Deoghar is a prominent religious and cultural city in eastern India, renowned for the Baidyanath Jyotirlinga temple and its significance as a major Hindu pilgrimage center.
  • B. Almora
    Almora is a picturesque hill town and cultural hub in the Kumaon region of Uttarakhand, India, known for its Himalayan views and rich Kumaoni heritage.
  • C. Sonamarg
    Sonamarg is a scenic hill station in Jammu and Kashmir, India, famed for its snow-capped peaks, alpine meadows, and role as a gateway to Himalayan trekking routes and the Amarnath Yatra.
  • D. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • E. Kasauli
    Kasauli is a small, picturesque hill station in the Indian state of Himachal Pradesh, known for its colonial-era architecture, pine forests, and tranquil atmosphere.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d6df6ee1848190a7d5fcd40b06cfe3 completed April 8, 2026, 11:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a2c8a048190b9a62f1c68ac217a completed April 10, 2026, 10:31 p.m.
Created at: April 8, 2026, 8:19 p.m.