Triple

T780350
Position Surface form Disambiguated ID Type / Status
Subject Frankfurt am Main E16481 entity
Predicate hosts P186 FINISHED
Object Frankfurt Stock Exchange E23436 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: Frankfurt Stock Exchange | Statement: [Frankfurt am Main, hosts, Frankfurt Stock Exchange]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frankfurt Stock Exchange
Context triple: [Frankfurt am Main, hosts, Frankfurt Stock Exchange]
  • A. Frankfurt Stock Exchange chosen
    The Frankfurt Stock Exchange is one of the world’s largest and most important securities trading centers, serving as Germany’s primary stock market.
  • B. 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.
  • C. 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.
  • D. Nasdaq Helsinki
    Nasdaq Helsinki is Finland’s primary stock exchange, hosting the trading of major Finnish companies and other securities.
  • E. London Stock Exchange
    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.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a750c6708190a3f2c3abf16b4ea4 completed March 1, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69a6733a21bc81909fa8f18cf8e0356a completed March 3, 2026, 5:35 a.m.
Created at: March 1, 2026, 7:37 p.m.