Triple

T14764564
Position Surface form Disambiguated ID Type / Status
Subject Sarju E346959 entity
Predicate hasHistoricalAssociation P2834 FINISHED
Object ancient city of Ayodhya E26191 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: ancient city of Ayodhya | Statement: [Sarju, hasHistoricalAssociation, ancient city of Ayodhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ancient city of Ayodhya
Context triple: [Sarju, hasHistoricalAssociation, ancient city of Ayodhya]
  • A. Ayodhya chosen
    Ayodhya is an ancient city in India revered in Hinduism as the birthplace of Lord Rama and a major pilgrimage site.
  • B. Temple City of India
    Temple City of India is the popular nickname for Bhubaneswar, the capital of Odisha, renowned for its numerous ancient Hindu temples and rich architectural heritage.
  • C. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • D. Indraprastha
    Indraprastha is the legendary capital city of the Pandavas in the Indian epic Mahabharata, often identified with the region of present-day Delhi.
  • E. Ajodhya Hills
    Ajodhya Hills is a scenic hill range in West Bengal, India, known for its forested landscapes, waterfalls, tribal villages, and trekking opportunities.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f3a1608190b1b17624003a0c7f completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cf4cef081909fa62125f43b36bc completed May 8, 2026, 4:19 p.m.
Created at: April 10, 2026, 1:30 a.m.