Triple

T5374990
Position Surface form Disambiguated ID Type / Status
Subject Kakori train robbery E108938 entity
Predicate participant P858 FINISHED
Object Murari Lal E519168 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: Murari Lal | Statement: [Kakori train robbery, participant, Murari Lal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Murari Lal
Context triple: [Kakori train robbery, participant, Murari Lal]
  • A. Bihari Lal
    Bihari Lal was a prominent 17th-century Indian poet renowned for his concise and lyrical Braj Bhasha couplets, especially those compiled in the work "Bihari Satsai."
  • B. Banwari Lal chosen
    Banwari Lal was an Indian revolutionary involved in the Kakori train robbery, a notable act of resistance against British colonial rule in the 1920s.
  • C. Devi Lal
    Devi Lal was an Indian politician and farmer leader who served as a prominent figure in Haryana politics and played a key role in national politics during the late 20th century.
  • D. Lal Singh
    Lal Singh was a prominent Sikh military leader and political figure who played a key command role during the Anglo-Sikh Wars in the mid-19th century.
  • E. Babu Parmanand
    Babu Parmanand was an Indian politician who served as a prominent leader and administrator, including a term as a state governor.
  • 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_69bd440c77948190aad2a5f39b7b80f5 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd86aed2a8819089d9e699f53563db completed March 20, 2026, 5:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf4877be7481909942b25ba1d0a7fd completed March 22, 2026, 1:40 a.m.
Created at: March 20, 2026, 2:03 p.m.