Triple
T16219441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veeweyde |
E393680
|
entity |
| Predicate | servedBy |
P82
|
FINISHED |
| Object | Veeweyde metro station |
E1200686
|
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: Veeweyde metro station | Statement: [Veeweyde, servedBy, Veeweyde metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veeweyde metro station Context triple: [Veeweyde, servedBy, Veeweyde metro station]
-
A.
Veeweyde metro station
chosen
Veeweyde metro station is a Brussels Metro station serving the Veeweyde area in the municipality of Anderlecht, Belgium.
-
B.
Bullewijk metro station
Bullewijk metro station is a rapid transit station in Amsterdam’s Bijlmermeer area, serving the city’s southeastern business and residential districts.
-
C.
Strandvliet metro station
Strandvliet metro station is a metro stop in Amsterdam serving the Bijlmermeer area on the city’s southeastern rapid transit network.
-
D.
Crainhem metro station
Crainhem metro station is a Brussels Metro station serving the municipality of Woluwe-Saint-Lambert in the eastern part of Brussels, Belgium.
-
E.
Kraaiennest metro station
Kraaiennest metro station is a rapid transit stop on the Amsterdam Metro network serving the Bijlmermeer district in the southeast of Amsterdam.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e227fabf708190a624c1ed8ce48b0a |
completed | April 17, 2026, 12:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a000ed338f48190a8a7280f7d2b112c |
completed | May 10, 2026, 4:51 a.m. |
Created at: April 10, 2026, 5:03 a.m.