Triple

T4753100
Position Surface form Disambiguated ID Type / Status
Subject Buddhist Monuments at Sanchi E105523 entity
Predicate locatedIn P40 FINISHED
Object Raisen district E460689 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: Raisen district | Statement: [Buddhist Monuments at Sanchi, locatedIn, Raisen district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Raisen district
Context triple: [Buddhist Monuments at Sanchi, locatedIn, Raisen district]
  • A. Raisen district chosen
    Raisen district is an administrative region in the Indian state of Madhya Pradesh that is notable for encompassing the prehistoric Rock Shelters of Bhimbetka, a UNESCO World Heritage Site.
  • B. Maizuru District
    Maizuru District is a regional command of the Japan Maritime Self-Defense Force responsible for naval operations and defense in the Maizuru area of Japan.
  • C. Hama District
    Hama District is an administrative district in central Syria that encompasses the city of Hama and surrounding areas within the Hama Governorate.
  • D. Nam District
    Nam District is an administrative district (gu) of the metropolitan city of Busan in South Korea, known for its coastal location and urban residential areas.
  • E. Kaifu District
    Kaifu District is an urban administrative district of Changsha, the capital city of Hunan Province in south-central China.
  • 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_69bd43f07fa48190954317d01600994a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64e72d1c81908eb60960751e52b1 completed March 20, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a6600e481909c3fb1decf23d7d8 completed March 21, 2026, 6:27 a.m.
Created at: March 20, 2026, 1:20 p.m.