Triple

T15962290
Position Surface form Disambiguated ID Type / Status
Subject Bardo E387090 entity
Predicate transportServedBy P1298 FINISHED
Object Tunis Metro E82109 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: Tunis Metro | Statement: [Bardo, transportServedBy, Tunis Metro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tunis Metro
Context triple: [Bardo, transportServedBy, Tunis Metro]
  • A. Tunis Metro chosen
    The Tunis Metro is a light rail transit system serving the city of Tunis, providing urban and suburban passenger transport across the Tunisian capital.
  • B. Rabat–Salé tramway
    The Rabat–Salé tramway is a modern light rail transit system serving the Moroccan capital Rabat and its twin city Salé, providing an important public transportation link across the Bouregreg River.
  • C. Tunis suburban bus network
    The Tunis suburban bus network is a public transportation system of bus routes serving the greater Tunis metropolitan area and providing connections to other urban transit modes.
  • D. Marseille metro
    The Marseille metro is the rapid transit system serving the city of Marseille, France, providing underground rail connections across key urban areas.
  • E. Marseille tramway
    The Marseille tramway is a modern light rail network serving the city of Marseille, France, connecting key districts and providing an important component of the urban public transport system.
  • 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_69d86da882448190a82ea962fe343b79 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15700651c819091c1cc4f60894c35 completed April 16, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0025ec39a8819081c0cf996bc59416 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 4:53 a.m.