Triple

T21804362
Position Surface form Disambiguated ID Type / Status
Subject The MERL E538312 entity
Predicate shortName P43 FINISHED
Object MERL 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: MERL | Statement: [The MERL, shortName, MERL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MERL
Context triple: [The MERL, shortName, MERL]
  • A. The MERL chosen
    The MERL is a museum in Reading, England dedicated to the history, culture, and everyday life of the English countryside.
  • B. MEL
    MEL is the commonly used acronym for the Métropole Européenne de Lille, the intercommunal metropolitan authority centered on the city of Lille in northern France.
  • C. MEL
    MEL is the three-letter IATA airport code for Melbourne Airport, the primary international gateway serving Melbourne, Australia.
  • D. MEL
    MEL is the station code for Mellunmäki metro station in Helsinki’s public transportation system.
  • E. Mels
    Mels is a childhood friend of Amy Pond in Doctor Who who is later revealed to be River Song, the daughter of Amy and Rory.
  • 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_69e0c4733f4081909a86622e7e6d15d2 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f07801fa8081909098d00947bf8f7f completed April 28, 2026, 9:04 a.m.
Created at: April 16, 2026, 6:53 p.m.