Triple

T2877246
Position Surface form Disambiguated ID Type / Status
Subject Kumbhalgarh Fort E56906 entity
Predicate region P40 FINISHED
Object Mewar E62850 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: Mewar | Statement: [Kumbhalgarh Fort, region, Mewar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mewar
Context triple: [Kumbhalgarh Fort, region, Mewar]
  • A. Mewar chosen
    Mewar is a historic region in northwestern India known for its Rajput heritage, hill forts, and former princely state centered around Udaipur.
  • B. Mikuma
    Mikuma was a Japanese Mogami-class heavy cruiser of the Imperial Japanese Navy that served in World War II and was sunk during the Battle of Midway.
  • C. Moruya
    Moruya is a coastal town in New South Wales, Australia, known for its scenic river setting, nearby beaches, and historic granite quarries.
  • D. Machimura
    Machimura is a Japanese surname most notably associated with Nobutaka Machimura, a prominent Liberal Democratic Party politician and former foreign minister of Japan.
  • E. Mekoryuk
    Mekoryuk is a small village on Nunivak Island in western Alaska, known as the primary community of the Nunivak Cup’ig people.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe007329c8190b0bc1851c7307124 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b03158d0ec8190ba9675ece8f62033 completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.