Triple

T22064621
Position Surface form Disambiguated ID Type / Status
Subject CSE E545235 entity
Predicate recruitsFor P28396 FINISHED
Object IAS 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: IAS | Statement: [CSE, recruitsFor, IAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAS
Context triple: [CSE, recruitsFor, IAS]
  • A. IAS chosen
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • B. IAS
    IAS is the IATA airport code for Iași International Airport, a major air transport hub serving the city of Iași in northeastern Romania.
  • C. IAS
    IAS (Interactive Application System) is a multi-user, multitasking operating system developed by Digital Equipment Corporation for their PDP-11 minicomputers.
  • D. IAS
    IAS is the commonly used abbreviation for the Indian Academy of Sciences, a premier scientific society in India dedicated to promoting and advancing science.
  • E. ISA
    ISA (Industry Standard Architecture) is an early computer bus standard used in IBM PCs and compatible systems to connect expansion cards and peripherals to the motherboard.
  • 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_69e11e344dfc81909b1d88a7221329c7 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12882ab3c819095b61e0a341edfdf completed April 28, 2026, 9:37 p.m.
Created at: April 16, 2026, 8:27 p.m.