Triple

T6915744
Position Surface form Disambiguated ID Type / Status
Subject Shipra River E160046 entity
Predicate hasAlternativeSpelling P457 FINISHED
Object Shipra E131390 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: Shipra | Statement: [Shipra River, hasAlternativeSpelling, Shipra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shipra
Context triple: [Shipra River, hasAlternativeSpelling, Shipra]
  • A. Shipra chosen
    Shipra is a sacred river in the Indian state of Madhya Pradesh, especially revered in Ujjain as a major Hindu pilgrimage site.
  • B. Shravika
    Shravika is the term in Jainism for a female lay follower who observes religious vows and practices while living a household life.
  • C. Aditi
    Aditi is a Vedic mother goddess in Hindu mythology, revered as the personification of boundlessness and the mother of many deities.
  • D. Sunaina
    Sunaina is a female given name commonly used in India and other South Asian communities.
  • E. Sanjna
    Sanjna is a figure in Hindu mythology known as the wife of the sun god Surya and the daughter of the god of justice, often associated with themes of devotion and transformation.
  • 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_69c6883ab1008190a07129ff06f625d9 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d9dec058819094d1913a1e5218c0 completed March 27, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7491589c08190982a84f2b61b497b completed March 28, 2026, 3:20 a.m.
Created at: March 27, 2026, 2:26 p.m.