Triple

T3857278
Position Surface form Disambiguated ID Type / Status
Subject Anderlecht E90047 entity
Predicate transport P230 FINISHED
Object Brussels tram E56003 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: Brussels tram | Statement: [Anderlecht, transport, Brussels tram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brussels tram
Context triple: [Anderlecht, transport, Brussels tram]
  • A. Brussels tram system chosen
    The Brussels tram system is an extensive urban light rail network that complements the city’s metro and bus services, providing key public transportation across the Brussels-Capital Region.
  • B. Brussels Metro
    The Brussels Metro is the rapid transit system serving Belgium’s capital, forming the core of its urban public transportation network with multiple underground and light rail lines.
  • C. Intercity Brussels
    Intercity Brussels is an international high-speed train service connecting the Netherlands with Brussels in Belgium.
  • D. Belgian coastal tram line
    The Belgian coastal tram line is a long seaside tramway running the length of Belgium’s North Sea coast, connecting numerous coastal towns and resorts.
  • E. Alstom Citadis tram
    The Alstom Citadis tram is a family of modern low-floor light rail vehicles widely used in urban tram networks around the world.
  • 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_69aed95b3c088190a8f85d19e6070599 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec09312c81908ffd7441c83730c8 completed March 9, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b51231608c8190bbc5dc990fba1606 completed March 14, 2026, 7:45 a.m.
Created at: March 9, 2026, 3:19 p.m.