Triple

T4320738
Position Surface form Disambiguated ID Type / Status
Subject Bourse de Tunis E96508 entity
Predicate abbreviation P43 FINISHED
Object BVMT
BVMT is the abbreviation for the Tunis Stock Exchange, the primary securities market of Tunisia.
 E432203 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: BVMT | Statement: [Bourse de Tunis, abbreviation, BVMT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BVMT
Context triple: [Bourse de Tunis, abbreviation, BVMT]
  • A. CIMT
    CIMT is the U.S. Army organization responsible for overseeing and standardizing the initial entry training of new soldiers.
  • B. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • C. MRU
    MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
  • D. BMT
    BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
  • E. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • 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: BVMT
Triple: [Bourse de Tunis, abbreviation, BVMT]
Generated description
BVMT is the abbreviation for the Tunis Stock Exchange, the primary securities market of Tunisia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BVMT
Target entity description: BVMT is the abbreviation for the Tunis Stock Exchange, the primary securities market of Tunisia.
  • A. CIMT
    CIMT is the U.S. Army organization responsible for overseeing and standardizing the initial entry training of new soldiers.
  • B. MRU
    MRU is the three-letter ISO 4217 currency code for the Mauritanian ouguiya, the official currency of Mauritania.
  • C. MRU
    MRU is the abbreviation for the Mano River Union, a regional organization that promotes economic cooperation and integration among West African countries along the Mano River.
  • D. BMT
    BMT (Brooklyn–Manhattan Transit Corporation) was a major private New York City subway operator whose lines now form one of the primary divisions of the modern NYC Subway system.
  • E. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35114ed2c8190949c5d8032d7b921 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08d70408190aca5793a480cf54f completed March 14, 2026, 9:18 p.m.
NEDg Description generation batch_69b5d4607a688190a3a7352579ea5ee7 completed March 14, 2026, 9:34 p.m.
NED2 Entity disambiguation (via description) batch_69b5d51068dc819099ac28361188dcc4 completed March 14, 2026, 9:37 p.m.
Created at: March 12, 2026, 11:12 p.m.