Triple

T19101728
Position Surface form Disambiguated ID Type / Status
Subject Academia Europaea E467545 entity
Predicate hasAbbreviation P43 FINISHED
Object AE 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: AE | Statement: [Academia Europaea, hasAbbreviation, AE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AE
Context triple: [Academia Europaea, hasAbbreviation, AE]
  • A. AE chosen
    AE is the commonly used abbreviation for Academia Europaea, a European non-governmental association of scientists and scholars across all disciplines.
  • B. AE
    AE is the IATA airline designator assigned to Mandarin Airlines, a regional carrier based in Taiwan.
  • C. AE
    AE is the standard abbreviation for a DICOM Application Entity, which represents a logical device or software component that exchanges medical imaging data within a DICOM network.
  • D. AE
    AE is the Faculty of Aerospace Engineering at Delft University of Technology, renowned for its education and research in aeronautics, astronautics, and related technologies.
  • E. AE
    AE is an Indonesian vehicle registration code assigned to motor vehicles registered in Ngawi Regency and certain surrounding areas in East Java.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e36de7bc8190b353ed59e12e4631 completed April 20, 2026, 8:27 a.m.
Created at: April 10, 2026, 12:04 p.m.