Triple

T2978929
Position Surface form Disambiguated ID Type / Status
Subject Royal Netherlands Academy of Arts and Sciences E80463 entity
Predicate memberOf P10 FINISHED
Object ALLEA E22826 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: ALLEA | Statement: [Royal Netherlands Academy of Arts and Sciences, memberOf, ALLEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALLEA
Context triple: [Royal Netherlands Academy of Arts and Sciences, memberOf, ALLEA]
  • A. ALLEA chosen
    ALLEA (All European Academies) is a European federation that brings together national academies of sciences and humanities to promote science, scholarship, and evidence-based policy across Europe.
  • B. EALA
    EALA is the regional legislative body of the East African Community responsible for making laws and providing oversight for the bloc.
  • C. Ale
    Ale is a common short form of the Italian given name Alessandro, often used as a casual or affectionate nickname.
  • D. AAL
    AAL is the ICAO airline designator used in aviation to identify American Airlines in flight operations and air traffic control.
  • E. AELM
    AELM is the commonly used abbreviation for the APEC Economic Leaders' Meeting, an annual summit where leaders of Asia-Pacific economies discuss regional economic cooperation and policy.
  • 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_69ad8b15f6ac8190be5fd16a33edcb4f completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad999cca40819082e2d6d10bdb7872 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108ef607c8190865b079beb1b6da5 completed March 11, 2026, 6:17 a.m.
Created at: March 8, 2026, 2:58 p.m.