Triple

T11550113
Position Surface form Disambiguated ID Type / Status
Subject STIB-MIVB E273867 entity
Predicate fareSystem P395 FINISHED
Object Brupass XL 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 XL | Statement: [STIB-MIVB, fareSystem, Brupass XL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brupass XL
Context triple: [STIB-MIVB, fareSystem, Brupass XL]
  • 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. Brinkman
    Brinkman is a surname of Germanic origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • C. Philortyx
    Philortyx is a genus of New World quails known for their ground-dwelling habits and occurrence in scrub and grassland habitats of the Americas.
  • D. Andrex
    Andrex is a popular British toilet tissue brand known for its soft paper and iconic Labrador puppy advertising campaigns.
  • E. Micronite
    Micronite is a brand of cigarette filter historically associated with Kent cigarettes, known for its controversial use of asbestos in early filter designs.
  • 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_69e71392d0388190971bab8906e5e6df completed April 21, 2026, 6:05 a.m.
Created at: April 8, 2026, 9:37 p.m.