Triple

T9200515
Position Surface form Disambiguated ID Type / Status
Subject Economic Community of West African States Monetary Zone E220825 entity
Predicate abbreviation P43 FINISHED
Object WAMZ E784230 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: WAMZ | Statement: [Economic Community of West African States Monetary Zone, abbreviation, WAMZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: WAMZ
Context triple: [Economic Community of West African States Monetary Zone, abbreviation, WAMZ]
  • A. WAMZ chosen
    WAMZ is a proposed monetary union of several West African countries aiming to introduce a common currency and deepen regional economic integration.
  • B. WAM
    WAM is a university art museum in Johannesburg, South Africa, known for its extensive collection of African art and its role in research and education at the University of the Witwatersrand.
  • C. WAMO
    WAMO is a Pittsburgh-area radio station historically known for its urban contemporary and hip-hop programming serving the region’s Black community.
  • D. WMB
    WMB is the National Rail station code for Wembley Central railway station in northwest London, England.
  • E. WZZ
    WZZ is the ICAO airline designator used for Wizz Air, a major Central and Eastern European low-cost carrier.
  • 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_69ca83e8e9248190862cf3e41693b310 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69ccd9429b448190a078e9cdfedd4918 completed April 1, 2026, 8:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69d065dbcf908190a6e36cef879cd31b completed April 4, 2026, 1:14 a.m.
Created at: March 30, 2026, 7:25 p.m.