Triple

T12527379
Position Surface form Disambiguated ID Type / Status
Subject Inter-Parliamentary Union E299473 entity
Predicate alsoKnownAs P39 FINISHED
Object IPU E299473 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: IPU | Statement: [Inter-Parliamentary Union, alsoKnownAs, IPU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: IPU
Context triple: [Inter-Parliamentary Union, alsoKnownAs, IPU]
  • A. IPU chosen
    IPU is the commonly used abbreviation for the Inter-Parliamentary Union, a global organization that fosters cooperation and dialogue among national parliaments.
  • B. IPU
    IPU (Intelligence Processing Unit) is Graphcore's specialized processor architecture designed to accelerate machine learning and artificial intelligence workloads.
  • C. IUP
    IUP is a public research university in Indiana, Pennsylvania, known for its diverse undergraduate and graduate programs and regional academic influence.
  • D. UoP
    UoP is the former abbreviation for Savitribai Phule Pune University, a major public state university located in Pune, Maharashtra, India.
  • E. IPB University
    IPB University is a leading Indonesian public university renowned for its focus on agriculture, life sciences, and environmental studies.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9545e90948190980bd4d64964a0f2 completed April 10, 2026, 7:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f655762ae88190ab41e23bbd65c566 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 9:57 p.m.