Triple

T1070009
Position Surface form Disambiguated ID Type / Status
Subject Shantivan, New Delhi E23303 entity
Predicate hasNameInEnglish P3437 FINISHED
Object Shantivan E22538 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: Shantivan | Statement: [Shantivan, New Delhi, hasNameInEnglish, Shantivan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shantivan
Context triple: [Shantivan, New Delhi, hasNameInEnglish, Shantivan]
  • A. Shanti Van chosen
    Shanti Van is the memorial site in Delhi dedicated to India's first Prime Minister, Jawaharlal Nehru.
  • B. Sevagram
    Sevagram is a village in Maharashtra, India, best known as Mahatma Gandhi’s residence and the site of his Sevagram Ashram during the Indian independence movement.
  • C. Dahanapura
    Dahanapura was the principal city and political center of the historical Kediri Kingdom in Java.
  • D. Vaikuntha
    Vaikuntha is the eternal, transcendental spiritual realm in Hinduism where the god Vishnu resides in supreme bliss with his devotees.
  • E. Kishkindha
    Kishkindha is the mythical monkey kingdom ruled by Sugriva in the Indian epic Ramayana, where Rama forms an alliance with the vanara army to search for Sita.
  • 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_69a493ee1f908190992b5f0d1b04459b completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b914b4908190886d6698294c6b5b completed March 1, 2026, 10:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5ea491ec8190bf6bd84ecb5af341 completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:42 p.m.