Triple

T22239775
Position Surface form Disambiguated ID Type / Status
Subject XETR E549688 entity
Predicate hasAlternativeMIC P66661 FINISHED
Object XFRA 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: XFRA | Statement: [XETR, hasAlternativeMIC, XFRA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: XFRA
Context triple: [XETR, hasAlternativeMIC, XFRA]
  • A. XFRA chosen
    XFRA is the market identifier code for the Frankfurt Stock Exchange, one of Europe’s largest and most important securities trading venues.
  • B. FRAS
    FRAS is a professional post-nominal title indicating fellowship in the Royal Astronomical Society, typically awarded to individuals who have made significant contributions to astronomy or geophysics.
  • C. MFMA
    MFMA is a South African law that governs how municipalities manage and report on their finances to ensure transparency, accountability, and sound fiscal management.
  • D. FPA
    FPA is the Finnish acronym for the Social Insurance Institution of Finland, the national agency responsible for administering Finland’s social security benefits.
  • E. FLR
    FLR is the New York Stock Exchange ticker symbol for Fluor Corporation, a global engineering, procurement, construction, and maintenance services company.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132133b908190b0fb32a5ee68e1e6 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.