Triple

T4320749
Position Surface form Disambiguated ID Type / Status
Subject Bourse de Tunis E96508 entity
Predicate hasIndex P2915 FINISHED
Object Tunindex
Tunindex is the main benchmark stock market index of the Tunis Stock Exchange, tracking the performance of its leading listed companies.
 E432204 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: Tunindex | Statement: [Bourse de Tunis, hasIndex, Tunindex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tunindex
Context triple: [Bourse de Tunis, hasIndex, Tunindex]
  • A. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • B. TUNAIR
    TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
  • C. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • D. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • E. Tzununá
    Tzununá is a small, tranquil Mayan village in Guatemala known for its natural beauty, traditional culture, and growing community of eco-lodges and retreat centers.
  • 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: Tunindex
Triple: [Bourse de Tunis, hasIndex, Tunindex]
Generated description
Tunindex is the main benchmark stock market index of the Tunis Stock Exchange, tracking the performance of its leading listed companies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tunindex
Target entity description: Tunindex is the main benchmark stock market index of the Tunis Stock Exchange, tracking the performance of its leading listed companies.
  • A. Tunechi
    Tunechi is a popular nickname and alter ego of American rapper Lil Wayne, often used to refer to his distinctive persona and musical brand.
  • B. TUNAIR
    TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
  • C. TUN
    TUN is the three-letter ISO 3166-1 alpha-3 country code assigned to Tunisia.
  • D. Tulunan
    Tulunan is a rural municipality in the province of North Cotabato on the island of Mindanao in the Philippines, known primarily for its agricultural economy.
  • E. Tzununá
    Tzununá is a small, tranquil Mayan village in Guatemala known for its natural beauty, traditional culture, and growing community of eco-lodges and retreat centers.
  • 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.