Triple

T1497116
Position Surface form Disambiguated ID Type / Status
Subject Hastings Ismay E29711 entity
Predicate placeOfBirth P1 FINISHED
Object Nainital E171986 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: Nainital | Statement: [Hastings Ismay, placeOfBirth, Nainital]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nainital
Context triple: [Hastings Ismay, placeOfBirth, Nainital]
  • A. Nainital chosen
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • B. 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.
  • C. Darjeeling
    Darjeeling is a famous hill station in the Indian Himalayas renowned for its tea plantations, scenic mountain views, and colonial-era charm.
  • D. Manali
    Manali is a popular hill station and tourist town in the Indian state of Himachal Pradesh, known for its scenic Himalayan landscapes, adventure sports, and cool climate.
  • E. Gangtok
    Gangtok is the capital city of the Indian state of Sikkim, known for its Himalayan scenery, Buddhist monasteries, and role as a major cultural and tourism hub in the 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_69a498dba1d8819093b46a3a8d2485f1 completed March 1, 2026, 7:51 p.m.
NER Named-entity recognition batch_69a4c6edca248190a90205799b270058 completed March 1, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad308bf1048190bc15a712e5ee0caa completed March 8, 2026, 8:17 a.m.
Created at: March 1, 2026, 8:12 p.m.