Triple

T4132425
Position Surface form Disambiguated ID Type / Status
Subject Casablanca Stock Exchange E85070 entity
Predicate hasIndex P2915 FINISHED
Object MADEX
MADEX is a major Moroccan stock market index that tracks the performance of continuously listed shares on the Casablanca Stock Exchange.
 E414794 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: MADEX | Statement: [Casablanca Stock Exchange, hasIndex, MADEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MADEX
Context triple: [Casablanca Stock Exchange, hasIndex, MADEX]
  • A. MDAX
    MDAX is a German stock market index that tracks the performance of 50 mid-cap companies listed on the Frankfurt Stock Exchange.
  • B. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • C. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • D. MCX
    MCX is the stock ticker symbol for a company listed on the FTSE 250 Index, which comprises mid-cap firms traded on the London Stock Exchange.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • 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: MADEX
Triple: [Casablanca Stock Exchange, hasIndex, MADEX]
Generated description
MADEX is a major Moroccan stock market index that tracks the performance of continuously listed shares on the Casablanca Stock Exchange.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MADEX
Target entity description: MADEX is a major Moroccan stock market index that tracks the performance of continuously listed shares on the Casablanca Stock Exchange.
  • A. MDAX
    MDAX is a German stock market index that tracks the performance of 50 mid-cap companies listed on the Frankfurt Stock Exchange.
  • B. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • C. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • D. MCX
    MCX is the stock ticker symbol for a company listed on the FTSE 250 Index, which comprises mid-cap firms traded on the London Stock Exchange.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af022f55fc81909f2a1a04d0ea59e6 completed March 9, 2026, 5:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c26d4c81909b8be74855cbd03f completed March 14, 2026, 2:54 p.m.
NEDg Description generation batch_69b577c2b784819096d8218dd1c1478d completed March 14, 2026, 2:59 p.m.
NED2 Entity disambiguation (via description) batch_69b5782cc448819080e306952da24ac0 completed March 14, 2026, 3:01 p.m.
Created at: March 9, 2026, 3:42 p.m.