Triple
T14773940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veendam railway station |
E347204
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
Vdm
Vdm is the official station code used to identify Veendam railway station in the Netherlands.
|
E1119504
|
NE FINISHED |
How this triple was built (4 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, hasStationCode, Vdm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vdm Context triple: [Veendam railway station, hasStationCode, Vdm]
-
A.
Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
-
B.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
C.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
D.
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."
-
E.
VDH
VDH is the state public health agency responsible for protecting and promoting the health of residents in Virginia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vdm Triple: [Veendam railway station, hasStationCode, Vdm]
Generated description
Vdm is the official station code used to identify Veendam railway station in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vdm Target entity description: Vdm is the official station code used to identify Veendam railway station in the Netherlands.
-
A.
Vdm
Vdm is the official station code for Van der Madeweg, a metro station in Amsterdam, Netherlands.
-
B.
VDP
VDP is a networking protocol used to automatically discover and configure virtual devices or ports in virtualized environments.
-
C.
VDV
VDV is the elite airborne branch of Russia’s armed forces, known for rapid-deployment paratrooper and air-assault operations.
-
D.
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."
-
E.
VDH
VDH is the state public health agency responsible for protecting and promoting the health of residents in Virginia.
- F. None of above. chosen
Provenance (5 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_69fe0cfd26fc81909fba39c8705437ed |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe17fc37ec8190b2e9c786a5e7843e |
completed | May 8, 2026, 5:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe18786294819080ce5ee0d8af00c9 |
completed | May 8, 2026, 5:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.