Triple

T447872
Position Surface form Disambiguated ID Type / Status
Subject Oudh E7060 entity
Predicate namedAfter P63 FINISHED
Object 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: Ayodhya | Statement: [Oudh, namedAfter, Ayodhya]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayodhya
Context triple: [Oudh, namedAfter, 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. Mathura
    Mathura is an ancient city in northern India revered in Hinduism as the birthplace of Lord Krishna and a major pilgrimage center.
  • C. Agra
    Agra is a historic city in northern India renowned for its Mughal-era architecture, most notably the Taj Mahal and Agra Fort.
  • D. Varanasi
    Varanasi is an ancient city on the banks of the Ganges in northern India, revered as one of Hinduism’s holiest pilgrimage sites and a major center of religious, cultural, and spiritual life.
  • E. Allahabad
    Allahabad, officially known as Prayagraj, is a major city in the Indian state of Uttar Pradesh, historically significant as a political and cultural center and as a prominent site of the Kumbh Mela at the confluence of the Ganges, Yamuna, and mythical Saraswati rivers.
  • 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_69a2e7e4676c81909ea0dbdecac0687c completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2ef6429e881908aa758da64299a16 completed Feb. 28, 2026, 1:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4ed30d578819091c6c1f4c5eba301 completed March 2, 2026, 1:51 a.m.
Created at: Feb. 28, 2026, 1:12 p.m.