Triple

T23520950
Position Surface form Disambiguated ID Type / Status
Subject FDLP E574504 entity
Predicate administeredBy P86 FINISHED
Object GPO 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: GPO | Statement: [FDLP, administeredBy, GPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GPO
Context triple: [FDLP, administeredBy, GPO]
  • A. GPO chosen
    GPO is the common abbreviation for the United States Government Publishing Office, the federal agency responsible for producing and distributing information products and services for all branches of the U.S. government.
  • B. GPO
    GPO is a provincial political party in Ontario, Canada, that advocates for environmental sustainability, social justice, and progressive policies.
  • C. GPO
    GPO is a popular shopping mall in Tamuning, Guam, known for its outlet stores, dining options, and entertainment venues.
  • D. GOU
    GOU is the IATA airport code for Garoua International Airport, a commercial airport serving the city of Garoua in northern Cameroon.
  • E. GOU
    GOU is the Russian abbreviation for the Main Operations Directorate, the key operational command and planning body of the Russian General Staff.
  • 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_69e245bb3dcc8190ba9a2b35972b58d0 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1aa85cb2c81908afbd0df0caeef4d completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.