Triple

T12262102
Position Surface form Disambiguated ID Type / Status
Subject EC dollar E292248 entity
Predicate ISO4217Code P189 FINISHED
Object XCD E71603 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: XCD | Statement: [EC dollar, ISO4217Code, XCD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XCD
Context triple: [EC dollar, ISO4217Code, XCD]
  • A. XCD chosen
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • B. XCR
    XCR is the IATA airport code for Châlons Vatry Airport in northeastern France, which serves the Champagne region and cargo operations.
  • C. XDS
    XDS (Cross-Enterprise Document Sharing) is an IHE IT Infrastructure profile that defines standards-based methods for registering, storing, and sharing clinical documents across healthcare enterprises.
  • D. CX
    CX is the two-letter IATA airline designator used to identify Cathay Pacific in global aviation systems.
  • E. XCA
    XCA (Cross-Community Access) is an IHE IT Infrastructure profile that enables the discovery and retrieval of patient health records across different healthcare communities or domains.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdb0a948190aeee4ca3c01f801e completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e65bc00819091e4fee3c3af6f4f completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.