Triple

T4512545
Position Surface form Disambiguated ID Type / Status
Subject Nanda E102083 entity
Predicate associatedWith P37 FINISHED
Object Gokul E105553 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: Gokul | Statement: [Nanda, associatedWith, Gokul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gokul
Context triple: [Nanda, associatedWith, Gokul]
  • A. Gokul chosen
    Gokul is a historic town in Uttar Pradesh, India, revered in Hindu tradition as the place where Lord Krishna spent his early childhood.
  • B. Chitrari
    Chitrari is an alternative name for the Khowar language, an Indo-Aryan language spoken primarily in the Chitral region of northern Pakistan.
  • C. Kalgidhar
    Kalgidhar is an honorific epithet of Guru Gobind Singh, emphasizing his revered status as a timeless, divine protector in Sikh tradition.
  • D. Mahodara
    Mahodara is a revered form of the Hindu deity Ganesha, particularly associated with prosperity, generosity, and the fulfillment of devotees’ wishes.
  • E. Dhundhari
    Dhundhari is an Indo-Aryan language spoken primarily in and around Jaipur and adjoining regions of Rajasthan, India.
  • 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_69bd43d6251c81909deecce3e6e9d69c completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5722d8fc81909c5f2d9a38d17a6b completed March 20, 2026, 2:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda42699648190a54e8c474766d29d completed March 20, 2026, 7:46 p.m.
Created at: March 20, 2026, 1:01 p.m.