Triple

T2964011
Position Surface form Disambiguated ID Type / Status
Subject Marwar E80117 entity
Predicate majorCity P316 FINISHED
Object Sirohi E216168 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: Sirohi | Statement: [Marwar, majorCity, Sirohi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sirohi
Context triple: [Marwar, majorCity, Sirohi]
  • A. Sirohi State chosen
    Sirohi State was a princely state in western India, ruled by Rajput chiefs and later integrated into the Indian Union after independence.
  • B. Jalore
    Jalore is a historic town and district headquarters in the Indian state of Rajasthan, known for its ancient fort and role in the Marwar region’s history.
  • C. Banswara State
    Banswara State was a princely state in what is now Rajasthan, India, historically ruled by Rajput chiefs and later integrated into the Indian Union after independence.
  • D. Pratapgarh
    Pratapgarh is a town in the Indian state of Rajasthan known for its historical association with the Mewar region and its distinctive tribal culture and handicrafts.
  • E. Tikamgarh
    Tikamgarh is a town and administrative center in central India, known for its historical forts and temples in the state of Madhya Pradesh.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9958b1e48190a77f37bf63333c5b completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b261d8d40c8190b5f0a78e4d3069f6 completed March 12, 2026, 6:48 a.m.
Created at: March 8, 2026, 2:58 p.m.