Triple

T19600226
Position Surface form Disambiguated ID Type / Status
Subject Indian Institute of Management Nagpur E470450 entity
Predicate abbreviation P43 FINISHED
Object IIMN 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: IIMN | Statement: [Indian Institute of Management Nagpur, abbreviation, IIMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IIMN
Context triple: [Indian Institute of Management Nagpur, abbreviation, IIMN]
  • A. IIMN chosen
    IIMN is a premier Indian business school located in Nagpur, offering postgraduate and doctoral programs in management.
  • B. IMNU
    IMNU is the commonly used abbreviation for Inner Mongolia Normal University, a higher education institution located in Inner Mongolia, China.
  • C. IMNU
    IMNU is the business school of Nirma University in Ahmedabad, India, offering management education and research programs.
  • D. INM
    INM is Mexico’s federal agency responsible for regulating and overseeing immigration, border control, and the legal status of foreign nationals in the country.
  • E. IMM
    IMM is a research organization focused on advancing molecular nanotechnology and atomically precise manufacturing.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e6407df98c8190b258ac3b690fe4b1 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.