Triple

T22505362
Position Surface form Disambiguated ID Type / Status
Subject CAC Next 20 E556374 entity
Predicate market P1743 FINISHED
Object Paris stock market 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: Paris stock market | Statement: [CAC Next 20, market, Paris stock market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris stock market
Context triple: [CAC Next 20, market, Paris stock market]
  • A. Bourse de Paris chosen
    Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
  • B. Bourse de Commerce
    The Bourse de Commerce is a historic circular building in central Paris that now serves as a contemporary art museum housing the Pinault Collection.
  • C. Luxembourg Stock Exchange
    The Luxembourg Stock Exchange is a major European securities exchange known for its specialization in listing international bonds and sustainable finance instruments.
  • D. Bourse de Monaco
    Bourse de Monaco is the stock exchange of Monaco, serving as the marketplace for trading securities of companies based in or associated with the principality.
  • E. Bourse de Paris (Paris stock exchange, historic building)
    The Bourse de Paris is a historic neoclassical stock exchange building in central Paris that long served as the heart of French financial trading.
  • 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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5bf0f0819093426d83ebd80ef0 completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.