Triple
T14773959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veendam railway station |
E347204
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | Vdm |
E1119504
|
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: Vdm | Statement: [Veendam railway station, hasAbbreviation, Vdm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vdm Context triple: [Veendam railway station, hasAbbreviation, Vdm]
-
A.
Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
-
B.
Vdm
chosen
Vdm is the official station code used to identify Veendam railway station in the Netherlands.
-
C.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
D.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
E.
Fresh VDM
Fresh VDM is a Nigerian music producer best known for crafting Afropop and Afrobeats hits, including work on Davido’s acclaimed album "A Good Time."
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec81485e08190be35baafcf22b6f2 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe24b41df881908119e183b8299c48 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.