Triple

T4243141
Position Surface form Disambiguated ID Type / Status
Subject RUG E95462 entity
Predicate memberOf P10 FINISHED
Object EUA E24146 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: EUA | Statement: [RUG, memberOf, EUA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EUA
Context triple: [RUG, memberOf, EUA]
  • A. EUA chosen
    EUA (European University Association) is a major organization representing and supporting higher education institutions and national rectors’ conferences across Europe in areas such as policy, quality assurance, and institutional development.
  • B. United States of America
    The United States of America is a large federal republic in North America known for its global political, economic, military, and cultural influence.
  • C. EEU
    EEU is the commonly used abbreviation for the Eurasian Economic Union, a regional economic bloc of several post-Soviet states focused on economic integration and a single market.
  • D. US
    US is the IATA airline designator code assigned to the former American airline US Airways.
  • E. US
    The US, or United States, is a federal republic in North America composed of 50 states and known as one of the world’s largest economic and military powers.
  • 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_69b3453d91548190b4d4ef8fe52aa2ac completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34e8a676c8190ac2cb59e62613dd9 completed March 12, 2026, 11:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd678c2c088190a67867248f89c46a completed March 20, 2026, 3:28 p.m.
Created at: March 12, 2026, 11:05 p.m.