Triple

T22700916
Position Surface form Disambiguated ID Type / Status
Subject Dr. Ram Manohar Lohiya National Law University E561319 entity
Predicate shortName P43 FINISHED
Object Dr. RMLNLU NE NERFINISHED

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: Dr. RMLNLU | Statement: [Dr. Ram Manohar Lohiya National Law University, shortName, Dr. RMLNLU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dr. RMLNLU
Context triple: [Dr. Ram Manohar Lohiya National Law University, shortName, Dr. RMLNLU]
  • A. Dr. RMLNLU chosen
    Dr. RMLNLU is a premier public law university located in Lucknow, Uttar Pradesh, known for its integrated law programs and research in legal studies.
  • B. Dr. Lal
    Dr. Lal is a character in Saul Bellow’s novel "Mr. Sammler’s Planet," representing the intellectual and moral complexities of the book’s late-1960s New York setting.
  • C. P. Madhusudan
    P. Madhusudan is a computer scientist known for his contributions to formal methods, automata theory, and program verification.
  • D. D. Ravikumar
    D. Ravikumar is an Indian politician and prominent Dalit leader who serves as the chairperson of the Viduthalai Chiruthaigal Katchi (VCK) party in Tamil Nadu.
  • E. Gopalan Nadathur
    Gopalan Nadathur is a computer scientist known for his work in logic programming and theorem proving, including contributions to systems like Abella.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178ca683c81909f6b4e26b85c99c1 completed April 29, 2026, 3:19 a.m.
Created at: April 17, 2026, 3:15 p.m.