Triple

T4093906
Position Surface form Disambiguated ID Type / Status
Subject IAS machine E87767 entity
Predicate alsoKnownAs P39 FINISHED
Object IAS computer E87767 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: IAS computer | Statement: [IAS machine, alsoKnownAs, IAS computer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IAS computer
Context triple: [IAS machine, alsoKnownAs, IAS computer]
  • A. IAS machine chosen
    The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
  • B. ISC
    ISC is the commonly used abbreviation for the International Science Council, a global non-governmental organization that advances and coordinates international scientific research and policy.
  • C. ICS
    ICS refers to the Indian Civil Service, the elite higher civil service of the British Empire in India that formed the administrative backbone of colonial governance.
  • D. ICS
    ICS is the International Commission on Stratigraphy, the global authority responsible for standardizing the geological time scale and stratigraphic classification.
  • E. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • 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_69aed94425148190be337845d56fac22 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefcda2f408190bcf2b64535193162 completed March 9, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b6cfb288190ac08c3a37327ac9a completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.