Triple

T185094
Position Surface form Disambiguated ID Type / Status
Subject AEX index E3962 entity
Predicate isComparableTo P278 FINISHED
Object DAX
DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
 E23523 NE FINISHED

How this triple was built (4 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: DAX | Statement: [AEX index, isComparableTo, DAX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DAX
Context triple: [AEX index, isComparableTo, DAX]
  • A. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • B. DCA
    DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
  • C. DCA
    DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
  • D. AEX index
    The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
  • E. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DAX
Triple: [AEX index, isComparableTo, DAX]
Generated description
DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DAX
Target entity description: DAX is Germany’s leading blue-chip stock market index, tracking the performance of major companies listed on the Frankfurt Stock Exchange.
  • A. DAL
    DAL is the stock ticker symbol for Delta Air Lines, a major U.S.-based international airline.
  • B. DCA
    DCA (Defense Communications Agency) was a U.S. Department of Defense organization responsible for managing and overseeing military communications networks, including early internet precursor systems.
  • C. DCA
    DCA is the three-letter IATA airport code for Ronald Reagan Washington National Airport, the primary domestic airport serving Washington, D.C.
  • D. AEX index
    The AEX index is a benchmark stock market index that tracks the performance of the largest and most actively traded companies listed on the Amsterdam Stock Exchange.
  • E. DS
    DS is the standardized Diploma Supplement used across the European Higher Education Area to provide transparent, comparable information about higher education qualifications.
  • F. None of above. chosen

Provenance (5 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_69a25497e2f08190a040f8c6e1842643 completed Feb. 28, 2026, 2:36 a.m.
NER Named-entity recognition batch_69a25bc834388190a93ec1ab0d5946de completed Feb. 28, 2026, 3:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2fd0577588190a91be504e3c9f0ab completed Feb. 28, 2026, 2:34 p.m.
NEDg Description generation batch_69a2fe0b1c148190854569c3f6e03a91 completed Feb. 28, 2026, 2:39 p.m.
NED2 Entity disambiguation (via description) batch_69a2fe7676488190b0d126a7d3d75b5f completed Feb. 28, 2026, 2:40 p.m.
Created at: Feb. 28, 2026, 2:40 a.m.