Triple
T21299419
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hoogeveen |
E525014
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
VV Hoogeveen
VV Hoogeveen is a Dutch football club based in the town of Hoogeveen, competing in the amateur tiers of the Netherlands' football league system.
|
E1475894
|
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: VV Hoogeveen | Statement: [Hoogeveen, hasSportsClub, VV Hoogeveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VV Hoogeveen Context triple: [Hoogeveen, hasSportsClub, VV Hoogeveen]
-
A.
VV Papendrecht
VV Papendrecht is a Dutch amateur football club based in the town of Papendrecht in the Netherlands.
-
B.
EVV Eindhoven
EVV Eindhoven was the original name of the Dutch football club now known as FC Eindhoven, a professional team based in the city of Eindhoven.
-
C.
SV Apeldoorn
SV Apeldoorn is a Dutch sports club based in the city of Apeldoorn, primarily known for its football activities.
-
D.
PS Zeeland
PS Zeeland is the abbreviation for the Provincial Council of Zeeland, the elected legislative body governing the Dutch province of Zeeland.
-
E.
MVV
MVV is the Munich Transport and Tariff Association, the public transit network and fare system serving Munich and its surrounding region in Germany.
- 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: VV Hoogeveen Triple: [Hoogeveen, hasSportsClub, VV Hoogeveen]
Generated description
VV Hoogeveen is a Dutch football club based in the town of Hoogeveen, competing in the amateur tiers of the Netherlands' football league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VV Hoogeveen Target entity description: VV Hoogeveen is a Dutch football club based in the town of Hoogeveen, competing in the amateur tiers of the Netherlands' football league system.
-
A.
VV Papendrecht
VV Papendrecht is a Dutch amateur football club based in the town of Papendrecht in the Netherlands.
-
B.
EVV Eindhoven
EVV Eindhoven was the original name of the Dutch football club now known as FC Eindhoven, a professional team based in the city of Eindhoven.
-
C.
SV Apeldoorn
SV Apeldoorn is a Dutch sports club based in the city of Apeldoorn, primarily known for its football activities.
-
D.
PS Zeeland
PS Zeeland is the abbreviation for the Provincial Council of Zeeland, the elected legislative body governing the Dutch province of Zeeland.
-
E.
MVV
MVV is the Munich Transport and Tariff Association, the public transit network and fare system serving Munich and its surrounding region in Germany.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7385b1c548190b940ded0163ee3ca |
completed | April 21, 2026, 8:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a099814529c8190a94cfd3355862d0f |
completed | May 17, 2026, 10:27 a.m. |
| NEDg | Description generation | batch_6a0998b0c09081909f99cdd4064f55cc |
completed | May 17, 2026, 10:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09993444c88190a5f594315b81c34a |
completed | May 17, 2026, 10:32 a.m. |
Created at: April 16, 2026, 4:05 p.m.