Triple

T15461197
Position Surface form Disambiguated ID Type / Status
Subject Santram Mandir E371901 entity
Predicate attractsPilgrimsFrom P57386 FINISHED
Object Rajasthan E9756 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: Rajasthan | Statement: [Santram Mandir, attractsPilgrimsFrom, Rajasthan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rajasthan
Context triple: [Santram Mandir, attractsPilgrimsFrom, Rajasthan]
  • A. Rajasthan chosen
    Rajasthan is a northwestern Indian state known for its vast Thar Desert, historic Rajput forts and palaces, and rich cultural heritage.
  • B. Gujarat
    Gujarat is a western coastal state of India known for its significant role in trade and industry, rich cultural heritage, and historic cities such as Ahmedabad.
  • C. Jaipur State
    Jaipur State was a prominent princely state in pre-independence India, ruled by Rajput kings from the Kachwaha dynasty with its capital at the historic city of Jaipur.
  • D. Rajasthan (Malwa area)
    Rajasthan (Malwa area) is a historic region in central India known for its distinctive Malwa painting tradition and rich Rajput-era cultural heritage.
  • E. Chhattisgarh
    Chhattisgarh is a state in central India known for its rich mineral resources, dense forests, tribal cultures, and growing industrial and power sectors.
  • 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_69d85cc8bd308190886949510b42e764 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f17663c8190b995c7c3129c90d6 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d3eb6388190ba269350dbe7dfbc completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:32 a.m.