Triple

T1219750
Position Surface form Disambiguated ID Type / Status
Subject Ayodhya E26191 entity
Predicate district P2709 FINISHED
Object Ayodhya district E142784 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 district | Statement: [Ayodhya, district, Ayodhya district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ayodhya district
Context triple: [Ayodhya, district, Ayodhya district]
  • A. Varanasi district
    Varanasi district is an administrative region in the Indian state of Uttar Pradesh that encompasses the ancient and sacred city of Varanasi (Kashi), a major center of Hindu pilgrimage, culture, and learning.
  • B. Agra division
    Agra division is an administrative division in the Indian state of Uttar Pradesh that includes the city of Agra and surrounding districts.
  • C. Kurukshetra district
    Kurukshetra district is an administrative region in northern India renowned as the legendary battlefield of the Mahabharata and a major Hindu pilgrimage center.
  • D. Ayodhya division chosen
    Ayodhya division is an administrative division in the Indian state of Uttar Pradesh, with Ayodhya city serving as its headquarters.
  • E. Lucknow district
    Lucknow district is an administrative region in the Indian state of Uttar Pradesh that encompasses the city of Lucknow and its surrounding areas.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4be1d55a08190a138b2411a7c4376 completed March 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac93bcdbbc8190a5eb1f4285faa8d4 completed March 7, 2026, 9:08 p.m.
Created at: March 1, 2026, 7:46 p.m.