Triple

T5041471
Position Surface form Disambiguated ID Type / Status
Subject Akademio de Esperanto E113553 entity
Predicate shortName P43 FINISHED
Object AdE E113553 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: AdE | Statement: [Akademio de Esperanto, shortName, AdE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AdE
Context triple: [Akademio de Esperanto, shortName, AdE]
  • A. AdE chosen
    AdE is the abbreviation for the Akademio de Esperanto, the language-regulating body that oversees the evolution and norms of Esperanto.
  • B. Ade
    Ade is a British actor best known for his role as Tyrone in the 2000 crime film "Snatch."
  • C. ADEC
    ADEC is the Alaska state agency responsible for protecting public health and the environment through regulation and oversight of air, water, land, and food safety.
  • D. AE
    AE is the commonly used abbreviation for Academia Europaea, a European non-governmental association of scientists and scholars across all disciplines.
  • E. EdA
    EdA is the commonly used abbreviation for the Spanish Air and Space Force, the aerial warfare branch of Spain's armed forces.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73de73008190b89aec9a76b43e4f completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c8414288190bf53a40033aa70ea completed March 21, 2026, 1:26 p.m.
Created at: March 20, 2026, 1:37 p.m.