Triple

T16313036
Position Surface form Disambiguated ID Type / Status
Subject GLEN E396104 entity
Predicate hasMarket P2714 FINISHED
Object LSE Main Market E6664 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: LSE Main Market | Statement: [GLEN, hasMarket, LSE Main Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LSE Main Market
Context triple: [GLEN, hasMarket, LSE Main Market]
  • A. London Stock Exchange chosen
    The London Stock Exchange is one of the world’s oldest and largest securities exchanges, serving as a global hub for equity, bond, and derivatives trading.
  • B. Irish Stock Exchange
    The Irish Stock Exchange is Ireland's principal securities market, providing a platform for the listing and trading of shares, bonds, and other financial instruments.
  • 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. New York Stock Exchange
    The New York Stock Exchange is the world’s largest and one of its oldest stock exchanges, serving as a central hub for global equity trading and financial markets.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288dc30f48190b508220429b66e92 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0026044a5881908773e286fb1a6e3e completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.