Triple

T17331480
Position Surface form Disambiguated ID Type / Status
Subject Institute of Politics E420826 entity
Predicate abbreviation P43 FINISHED
Object IOP E420826 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: IOP | Statement: [Institute of Politics, abbreviation, IOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IOP
Context triple: [Institute of Politics, abbreviation, IOP]
  • A. IOP chosen
    IOP is a common abbreviation for the Institute of Politics, an organization typically associated with fostering political engagement, public service, and policy discussion, often within a university setting.
  • B. IOP
    IOP is the commonly used abbreviation for the Instituto de Opinión Pública, an organization dedicated to conducting public opinion and social research.
  • C. IOP
    IOP is a leading professional body and learned society dedicated to advancing the understanding and application of physics.
  • D. IoPPN
    IoPPN is a leading research and teaching institute in mental health, psychology, and neuroscience that is part of King's College London.
  • E. OIOS
    OIOS is the United Nations’ internal oversight body responsible for auditing, investigating, and evaluating the organization’s operations to ensure accountability and efficiency.
  • 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_69d889d3adc881909319f1edb8d2a956 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e439d6870c8190989897aa6beba8ff completed April 19, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c5025d08190ab2581a3b04ae661 completed May 11, 2026, 7:59 a.m.
Created at: April 10, 2026, 5:43 a.m.