Triple

T8205658
Position Surface form Disambiguated ID Type / Status
Subject IMSAS E191680 entity
Predicate shortName P43 FINISHED
Object IMSAS E191680 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: IMSAS | Statement: [IMSAS, shortName, IMSAS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IMSAS
Context triple: [IMSAS, shortName, IMSAS]
  • A. IMSAS chosen
    IMSAS is the International Maritime Organization’s mandatory audit program that evaluates how effectively member states implement and enforce global maritime safety, security, and environmental standards.
  • B. IAS
    IAS is India’s premier civil service responsible for administrative leadership and implementation of government policies at the central and state levels.
  • C. 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.
  • D. IAS
    IAS is the IATA airport code for Iași International Airport, a major air transport hub serving the city of Iași in northeastern Romania.
  • E. ISCAS
    ISCAS is a premier annual IEEE conference focused on research and innovation in circuits, systems, and related technologies.
  • 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_69ca82c7f3e08190857bf1fc63b2a10c completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb726a301c8190a4b2d3d184b7e448 completed March 31, 2026, 7:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccedd27bc08190a8109217069a8978 completed April 1, 2026, 10:05 a.m.
Created at: March 30, 2026, 5:43 p.m.