Triple

T11550112
Position Surface form Disambiguated ID Type / Status
Subject STIB-MIVB E273867 entity
Predicate fareSystem P395 FINISHED
Object Brupass E288966 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: Brupass | Statement: [STIB-MIVB, fareSystem, Brupass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brupass
Context triple: [STIB-MIVB, fareSystem, Brupass]
  • A. Brupass chosen
    Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
  • B. Braux
    Braux is a small commune in the Aube department of north-central France, situated within the Grand Est region.
  • C. Brenz
    The Brenz is a river in southern Germany that flows through Baden-Württemberg and Bavaria before joining the Danube.
  • D. Griante
    Griante is a small lakeside village on Lake Como in Lombardy, Italy, known for its scenic views and historic villas.
  • E. Braucol
    Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
  • 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_69d6aae4dfa48190a3ab0b19a159a3c5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88a83f1e88190aabf11a4c8a6c9e5 completed April 10, 2026, 5:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8396ed081909bdf381db3dacd62 completed April 21, 2026, 3 a.m.
Created at: April 8, 2026, 9:37 p.m.