Triple

T12847483
Position Surface form Disambiguated ID Type / Status
Subject Rana Kumbha E307217 entity
Predicate capital P234 FINISHED
Object Chittorgarh E288897 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: Chittorgarh | Statement: [Rana Kumbha, capital, Chittorgarh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chittorgarh
Context triple: [Rana Kumbha, capital, Chittorgarh]
  • A. Chittorgarh chosen
    Chittorgarh is a historic city in Rajasthan, India, renowned for its massive hilltop fort, tales of Rajput valor, and rich cultural traditions.
  • B. Chanderi
    Chanderi is a historic town in central India renowned for its medieval architecture and its traditional handwoven Chanderi silk and cotton textiles.
  • C. Marwar
    Marwar is a historic desert region in the western part of Rajasthan, India, known for its Rajput heritage, forts, and distinctive Marwari culture and language.
  • D. Rajgarh
    Rajgarh is a town and administrative district headquarters in the central Indian state of Madhya Pradesh, known for its agricultural economy and historical temples.
  • E. Rajgarh
    Rajgarh is a town in the Indian state of Rajasthan, known as one of the settlements within the Alwar district.
  • 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_69d7bdf5e7cc8190be357278bc5ba3bb completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96ff49efc8190bd6bbac510cc4705 completed April 10, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5bc5f688190a6fd3716c8266b2c completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 5:36 p.m.