Triple

T11550150
Position Surface form Disambiguated ID Type / Status
Subject Société des Transports Intercommunaux de Bruxelles E273868 entity
Predicate shortName P43 FINISHED
Object MIVB E932657 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: MIVB | Statement: [Société des Transports Intercommunaux de Bruxelles, shortName, MIVB]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIVB
Context triple: [Société des Transports Intercommunaux de Bruxelles, shortName, MIVB]
  • A. MIVB chosen
    MIVB is the Dutch acronym for Brussels’ main public transport operator, which runs the city’s metro, tram, and bus networks.
  • B. MIV
    MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
  • C. BMVI
    BMVI is the abbreviation for Germany’s former Federal Ministry responsible for transport policy and digital infrastructure development.
  • D. BMVI
    BMVI is an EU funding instrument focused on strengthening border management and visa policy implementation across member states.
  • E. BMV
    BMV is the National Rail station code for Bromsgrove railway station in Worcestershire, England.
  • 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.