Triple

T8426641
Position Surface form Disambiguated ID Type / Status
Subject L.O.V.E. E199012 entity
Predicate faces P1699 FINISHED
Object Italian stock exchange E81222 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: Italian stock exchange | Statement: [L.O.V.E., faces, Italian stock exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Italian stock exchange
Context triple: [L.O.V.E., faces, Italian stock exchange]
  • A. Borsa Italiana chosen
    Borsa Italiana is Italy’s main stock exchange, based in Milan and a key marketplace for trading Italian and international securities.
  • B. Piazza degli Affari
    Piazza degli Affari is a central square in Milan, Italy, best known as the financial hub that hosts the Italian stock exchange and several prominent financial institutions.
  • C. FTSE MIB
    FTSE MIB is the primary benchmark stock market index for the Italian equity market, comprising the largest and most liquid companies listed on the Borsa Italiana.
  • D. 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.
  • E. 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.
  • 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_69ca8313c99081909a5c6d83b91de5b3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbd122af6481908fbe53fe30bdd135 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce399384ec81908d3ace592d1e3aea completed April 2, 2026, 9:40 a.m.
Created at: March 30, 2026, 6:07 p.m.