Triple

T12564129
Position Surface form Disambiguated ID Type / Status
Subject Havas E295423 entity
Predicate stockExchange P524 FINISHED
Object Euronext Paris E9895 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: Euronext Paris | Statement: [Havas, stockExchange, Euronext Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euronext Paris
Context triple: [Havas, stockExchange, Euronext Paris]
  • A. Euronext chosen
    Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
  • B. 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.
  • C. Frankfurt Stock Exchange
    The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
  • D. Bourse de Paris
    Bourse de Paris is the historic Parisian stock exchange, long a central hub of French and European financial trading.
  • E. Amsterdam Stock Exchange
    The Amsterdam Stock Exchange is one of the world’s oldest organized securities markets, historically pivotal in the development of modern finance and global trade.
  • 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_69d6ad9cac2c81908e8a7bed82d1e21d completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95494ae1c81908b9ee14b8ef92a65 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6558da7e0819086860bfaf394e2d8 completed May 2, 2026, 7:50 p.m.
Created at: April 8, 2026, 11:49 p.m.