Triple
T2671708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brussels Metro |
E55760
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Rogier |
E64171
|
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: Rogier | Statement: [Brussels Metro, hasStation, Rogier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rogier Context triple: [Brussels Metro, hasStation, Rogier]
-
A.
Willem van Aelst
Willem van Aelst was a 17th-century Dutch Golden Age painter renowned for his refined still lifes, particularly of flowers, game, and luxurious objects.
-
B.
Charles Rogier
chosen
Charles Rogier was a leading 19th-century Belgian liberal statesman and founding father of independent Belgium, who served multiple times as prime minister and helped shape the young nation's political institutions.
-
C.
Balthasar Gérard
Balthasar Gérard was a French Catholic zealot best known for assassinating William the Silent, leader of the Dutch Revolt, in 1584.
-
D.
Hieronymus
Hieronymus is the Latinized name of Saint Jerome, a prominent early Christian scholar best known for translating the Bible into Latin (the Vulgate).
-
E.
Theodoor Rombouts
Theodoor Rombouts was a prominent Flemish Baroque painter known for his dynamic Caravaggesque genre scenes and dramatic use of light and shadow.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd98f98908190b5c6fb38d3d4367a |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa05f1ba48190a93a399d1067912c |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.