Triple

T5934500
Position Surface form Disambiguated ID Type / Status
Subject UKX E132010 entity
Predicate usedOn P2367 FINISHED
Object London Stock Exchange 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: London Stock Exchange | Statement: [UKX, usedOn, London Stock Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: London Stock Exchange
Context triple: [UKX, usedOn, London Stock Exchange]
  • 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. 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.
  • C. 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.
  • D. Euronext
    Euronext is a pan-European stock exchange group that operates major securities markets across several European countries, including the Netherlands, France, Belgium, and others.
  • E. SIX Swiss Exchange
    SIX Swiss Exchange is Switzerland’s principal stock exchange, known for listing major Swiss companies and operating as a key financial hub in Europe.
  • 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_69c0085c55dc8190aa90e242c956e2fa completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c038a0c4e481908170d615330edb1a completed March 22, 2026, 6:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c069e450819096b268637ffcd219 completed March 23, 2026, 4:24 a.m.
Created at: March 22, 2026, 4 p.m.