Triple

T17093965
Position Surface form Disambiguated ID Type / Status
Subject Casablanca Stock Exchange E414792 entity
Predicate primaryIndex P30921 FINISHED
Object MASI E414793 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: MASI | Statement: [Casablanca Stock Exchange, primaryIndex, MASI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MASI
Context triple: [Casablanca Stock Exchange, primaryIndex, MASI]
  • A. MASI chosen
    MASI is the main all-share stock market index of the Casablanca Stock Exchange in Morocco, tracking the performance of its listed companies.
  • B. MAS
    MAS (Monetary Authority of Singapore) is Singapore’s central bank and integrated financial regulator, responsible for monetary policy, financial supervision, and the stability of the country’s financial system.
  • C. MAS
    MAS is the official Indian Railways station code for Chennai Central, one of the busiest and most important railway terminals in South India.
  • D. MAS
    MAS is a sports club based in Saint-Étienne, France, known for its participation in regional football competitions.
  • E. MAS
    MAS is a common abbreviation that can refer to various entities, most notably Master of Advanced Studies academic programs or organizations such as the Monetary Authority of Singapore, depending on context.
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dbfb89348190942984037bd3bd2e completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012eec0d5c8190806e756aae848ba2 completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:35 a.m.