Triple

T656647
Position Surface form Disambiguated ID Type / Status
Subject Tunis E11662 entity
Predicate hasPublicTransport P1288 FINISHED
Object Tunis Metro
The Tunis Metro is a light rail transit system serving the city of Tunis, providing urban and suburban passenger transport across the Tunisian capital.
 E82109 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: Tunis Metro | Statement: [Tunis, hasPublicTransport, Tunis Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tunis Metro
Context triple: [Tunis, hasPublicTransport, Tunis Metro]
  • A. Turin Metro
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • B. Tehran Metro
    Tehran Metro is the rapid transit system serving Iran’s capital, providing extensive urban and suburban rail transport across the Tehran metropolitan area.
  • C. Paris Métro Line 10
    Paris Métro Line 10 is an east–west subway line in the Paris Métro network that runs primarily along the Left Bank, serving several central and southwestern districts of the city.
  • D. Sidi Bouzid
    Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
  • E. Dubai Metro
    The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
  • 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: Tunis Metro
Triple: [Tunis, hasPublicTransport, Tunis Metro]
Generated description
The Tunis Metro is a light rail transit system serving the city of Tunis, providing urban and suburban passenger transport across the Tunisian capital.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tunis Metro
Target entity description: The Tunis Metro is a light rail transit system serving the city of Tunis, providing urban and suburban passenger transport across the Tunisian capital.
  • A. Turin Metro
    The Turin Metro is a fully automated, driverless rapid transit system serving the city of Turin, Italy.
  • B. Tehran Metro
    Tehran Metro is the rapid transit system serving Iran’s capital, providing extensive urban and suburban rail transport across the Tehran metropolitan area.
  • C. Paris Métro Line 10
    Paris Métro Line 10 is an east–west subway line in the Paris Métro network that runs primarily along the Left Bank, serving several central and southwestern districts of the city.
  • D. Sidi Bouzid
    Sidi Bouzid is a town in central Tunisia known as the birthplace of the Arab Spring uprisings that began in late 2010.
  • E. Dubai Metro
    The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49f4e87408190b5276d2b913d0426 completed March 1, 2026, 8:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5914abe2c8190a27f520f445554d8 completed March 2, 2026, 1:31 p.m.
NEDg Description generation batch_69a5ab066d348190bbe5956cce0407ef completed March 2, 2026, 3:21 p.m.
NED2 Entity disambiguation (via description) batch_69a5c240eebc819098cd79447ed95b08 completed March 2, 2026, 5 p.m.
Created at: March 1, 2026, 7:36 p.m.