Triple

T1303724
Position Surface form Disambiguated ID Type / Status
Subject BCCh E27825 entity
Predicate currencyCode P208 FINISHED
Object CLP E3850 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: CLP | Statement: [BCCh, currencyCode, CLP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CLP
Context triple: [BCCh, currencyCode, CLP]
  • A. CLP chosen
    CLP is the three-letter ISO 4217 currency code for the Chilean peso, the official monetary unit of Chile.
  • B. CLCS
    CLCS is a United Nations body of experts that evaluates and makes recommendations on coastal states’ claims to the outer limits of their continental shelves under the UN Convention on the Law of the Sea.
  • C. CL 9
    CL 9 is a technology company co-founded by Apple co-founder Steve Wozniak, focused on cloud computing and data center services.
  • D. CPLP
    CPLP is an international organization that promotes political, economic, and cultural cooperation among Portuguese-speaking countries worldwide.
  • E. GLP
    GLP is the three-letter ISO 3166-1 alpha-3 country code assigned to Guadeloupe, an overseas region of France in the Caribbean.
  • 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_69a496d7d83481908f83085854e51328 completed March 1, 2026, 7:43 p.m.
NER Named-entity recognition batch_69a4c116d7d881908ee631258f80980e completed March 1, 2026, 10:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69acb3046a888190956f6bedb6ec589f completed March 7, 2026, 11:21 p.m.
Created at: March 1, 2026, 7:51 p.m.