Triple

T4685678
Position Surface form Disambiguated ID Type / Status
Subject NSUI E103914 entity
Predicate hasAbbreviation P43 FINISHED
Object NSUI E103914 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: NSUI | Statement: [NSUI, hasAbbreviation, NSUI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NSUI
Context triple: [NSUI, hasAbbreviation, NSUI]
  • A. NSUI chosen
    NSUI is the student wing of the Indian National Congress, active in universities and colleges across India and involved in student politics and representation.
  • B. NIS
    NIS (Network Information Service) is a client-server directory service protocol developed by Sun Microsystems to centrally manage and distribute system configuration data such as user and host information across Unix networks.
  • C. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • D. NS
    NS (Nederlandse Spoorwegen) is the principal Dutch railway company responsible for most passenger train services in the Netherlands.
  • E. NSM
    NSM was the stock ticker symbol for National Semiconductor, a former American semiconductor manufacturer known for its analog and mixed-signal integrated circuits.
  • 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6383c83881908a978e471fe422a2 completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b3b0208190bb307cdd53f44306 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.