Triple

T18062385
Position Surface form Disambiguated ID Type / Status
Subject Tunindex 20 E432205 entity
Predicate relatedIndex P5158 FINISHED
Object Tunindex NE NERFINISHED

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: Tunindex | Statement: [Tunindex 20, relatedIndex, Tunindex]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunindex
Context triple: [Tunindex 20, relatedIndex, Tunindex]
  • A. Tunindex chosen
    Tunindex is the main benchmark stock market index of the Tunis Stock Exchange, tracking the performance of its leading listed companies.
  • B. Tunindex 20
    Tunindex 20 is a benchmark stock market index comprising the 20 most actively traded and capitalized companies listed on the Tunis Stock Exchange.
  • C. Tunasan
    Tunasan is a barangay and district in the southern part of Muntinlupa City in Metro Manila, Philippines.
  • D. 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.
  • E. TUNAIR
    TUNAIR is the radio callsign used by Tunisair, the national flag carrier airline of Tunisia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4c107351c8190a2bfdb46754c2c6e completed April 19, 2026, 11:48 a.m.
Created at: April 10, 2026, 10:26 a.m.