Triple

T29506233
Position Surface form Disambiguated ID Type / Status
Subject Ulu Jempol E748519 entity
Predicate currencyOfWiderRegion P18115 FINISHED
Object Malaysian ringgit 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: Malaysian ringgit | Statement: [Ulu Jempol, currencyOfWiderRegion, Malaysian ringgit]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: currencyOfWiderRegion
Context triple: [Ulu Jempol, currencyOfWiderRegion, Malaysian ringgit]
  • A. currencyArea chosen
    Indicates that one entity is the geographic or economic region in which the other entity’s currency is officially used or valid.
  • B. currencyCountry
    Indicates that a given currency is officially used as legal tender in a particular country.
  • C. currencyFamily
    Indicates that two currencies belong to the same broader monetary family or classification, typically sharing a common origin, standard, or structural framework.
  • D. currencyScope
    Indicates the range or jurisdiction within which a particular currency is valid, applicable, or intended to be used.
  • E. currencyOrigin
    Indicates the place or source from which a particular currency was originally issued or created.
  • F. None of above.

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_69f0bd455a9c8190b40a3e8ea38cf61f completed April 28, 2026, 1:59 p.m.
NER Named-entity recognition batch_69fd57ba740c8190bd1d40166fccccb7 completed May 8, 2026, 3:25 a.m.
PD Predicate disambiguation batch_69fd55ee82b881908a639da3a41b3af6 completed May 8, 2026, 3:18 a.m.
Created at: April 28, 2026, 4:28 p.m.