Triple

T12382344
Position Surface form Disambiguated ID Type / Status
Subject FIA E295773 entity
Predicate producer P490 FINISHED
Object Fresh VDM E974432 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: Fresh VDM | Statement: [FIA, producer, Fresh VDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fresh VDM
Context triple: [FIA, producer, Fresh VDM]
  • A. Fresh VDM chosen
    Fresh VDM is a Nigerian music producer best known for crafting Afropop and Afrobeats hits, including work on Davido’s acclaimed album "A Good Time."
  • B. Vdm
    Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
  • C. Fresh
    Fresh is a 1994 American crime drama film, produced by Lawrence Bender, that follows a young boy navigating the violent drug trade in New York City.
  • D. VAND
    VAND is the ICAO airport code assigned to Shri Guru Gobind Singh Ji Airport in India.
  • E. FVMV
    FVMV is the ICAO airport code for Masvingo Airport in Masvingo, Zimbabwe.
  • 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_69d6ad9e653c8190b1473c860ee53dae completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d93fbb3a2481908c2fcb5e6488eb3c completed April 10, 2026, 6:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f62ac5b46c81908d419e09f5629c37 completed May 2, 2026, 4:48 p.m.
Created at: April 8, 2026, 9:54 p.m.