Triple

T13812367
Position Surface form Disambiguated ID Type / Status
Subject AF-KL E331924 entity
Predicate relatedIndex P5158 FINISHED
Object Euronext indices 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 indices | Statement: [AF-KL, relatedIndex, Euronext indices]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Euronext indices
Context triple: [AF-KL, relatedIndex, Euronext indices]
  • A. STOXX Europe 600
    STOXX Europe 600 is a major pan-European stock market index that tracks the performance of 600 large, mid, and small-cap companies across 17 European countries.
  • B. Euro Stoxx 50
    The Euro Stoxx 50 is a leading blue-chip stock market index that tracks the performance of 50 major companies from countries within the eurozone.
  • C. S&P Europe 350
    S&P Europe 350 is a major stock market index that tracks the performance of 350 leading blue-chip companies across developed European markets.
  • D. 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.
  • E. Swiss Market Index
    The Swiss Market Index is Switzerland’s leading stock market benchmark, comprising the largest and most liquid blue-chip companies traded on the SIX Swiss Exchange.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de027198f8819095da3e714ac241f5 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8de34a4819090c99cb78b941003 completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.