Triple

T3056781
Position Surface form Disambiguated ID Type / Status
Subject Midrand E60499 entity
Predicate hasRailService P782 FINISHED
Object Gautrain E266498 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: Gautrain | Statement: [Midrand, hasRailService, Gautrain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gautrain
Context triple: [Midrand, hasRailService, Gautrain]
  • A. Gautrain chosen
    Gautrain is a high-speed commuter rail system in Gauteng, South Africa, linking major urban centers and key locations such as airports and business districts.
  • B. Metro Busway
    Metro Busway is Los Angeles County’s network of high-capacity, bus rapid transit corridors designed to provide faster, more reliable service than regular local bus lines.
  • C. Capital Airport Express
    Capital Airport Express is a dedicated rapid transit line in the Beijing Subway system that connects central Beijing with Beijing Capital International Airport.
  • D. 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.
  • E. Casablanca Tramway
    Casablanca Tramway is a modern light rail transit system serving Morocco’s largest city, providing key urban and suburban connections across Casablanca.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9e13f16c81909e11ed1444c71151 completed March 8, 2026, 4:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef0671e48190a793f907cc211dd8 completed March 11, 2026, 10:39 p.m.
Created at: March 8, 2026, 3:02 p.m.