Triple

T23518420
Position Surface form Disambiguated ID Type / Status
Subject BADEA E574430 entity
Predicate acronym P43 FINISHED
Object BADEA 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: BADEA | Statement: [BADEA, acronym, BADEA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BADEA
Context triple: [BADEA, acronym, BADEA]
  • A. BADEA chosen
    BADEA is a multilateral development finance institution established by Arab countries to support economic and social development projects across African nations.
  • B. BADA
    BADA is the leading trade association representing professional antique dealers in the United Kingdom, known for promoting high standards of expertise, authenticity, and ethics in the art and antiques market.
  • C. Bdebba
    Bdebba is a town located in the Koura District of the North Governorate in Lebanon, known for its rural character and Mediterranean setting.
  • D. Bea-da
    Bea-da is an alternative name for the Aka-Bea, an extinct indigenous people and language group from the Andaman Islands in the Indian Ocean.
  • E. Badel
    Badel is a surname most notably associated with English actor Alan Badel, known for his work in mid-20th-century film, television, and theatre.
  • 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_69f1aa83c538819096bc548e3e0ddbd0 completed April 29, 2026, 6:51 a.m.
Created at: April 17, 2026, 6:08 p.m.