Triple

T7834487
Position Surface form Disambiguated ID Type / Status
Subject Mehrangarh Fort E181656 entity
Predicate overlooks P1323 FINISHED
Object Blue City of Jodhpur E696006 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: Blue City of Jodhpur | Statement: [Mehrangarh Fort, overlooks, Blue City of Jodhpur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blue City of Jodhpur
Context triple: [Mehrangarh Fort, overlooks, Blue City of Jodhpur]
  • A. Jaipur Walled City
    Jaipur Walled City is the historic, planned old quarter of Jaipur in Rajasthan, renowned for its pink-hued architecture, royal palaces, and bustling traditional bazaars.
  • B. Sun City of India chosen
    Sun City of India is a popular nickname for the city of Jodhpur in Rajasthan, renowned for its bright, sunny weather and blue-painted houses.
  • C. Udaipur
    Udaipur is a historic city in India renowned for its lakes, palaces, and role as a former capital of the Mewar kingdom.
  • D. Udaipur
    Udaipur is a historic town in the Indian state of Tripura, known for its ancient temples and scenic lakes.
  • E. Udaipur
    Udaipur is a town in the Lahaul and Spiti district of Himachal Pradesh, India, known for its scenic Himalayan setting and the ancient Mrikula Devi Temple.
  • 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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064b872081908e269f4fe1b85436 completed March 30, 2026, 11:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbdef32d4c8190a2e5c76d2db6c45f completed March 31, 2026, 2:49 p.m.
Created at: March 30, 2026, 4:45 p.m.