Triple
T8091103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Papendrecht |
E188862
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
VV Papendrecht
VV Papendrecht is a Dutch amateur football club based in the town of Papendrecht in the Netherlands.
|
E710600
|
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 Papendrecht | Statement: [Papendrecht, hasSportsClub, VV Papendrecht]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VV Papendrecht Context triple: [Papendrecht, hasSportsClub, VV Papendrecht]
-
A.
Neerwinden
Neerwinden is a village in present-day Belgium known primarily as the site of two major 18th-century battles during the War of the Austrian Succession and the French Revolutionary Wars.
-
B.
Count of Vechta
Count of Vechta was a noble title in the Holy Roman Empire associated with the territory around the town of Vechta in present-day Lower Saxony, Germany.
-
C.
Van Doos
Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
-
D.
PVV
PVV is a Dutch right-wing populist political party led by Geert Wilders, known for its anti-immigration and Eurosceptic positions.
-
E.
Vitesse Arnhem
Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
- 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 Papendrecht Triple: [Papendrecht, hasSportsClub, VV Papendrecht]
Generated description
VV Papendrecht is a Dutch amateur football club based in the town of Papendrecht in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VV Papendrecht Target entity description: VV Papendrecht is a Dutch amateur football club based in the town of Papendrecht in the Netherlands.
-
A.
Neerwinden
Neerwinden is a village in present-day Belgium known primarily as the site of two major 18th-century battles during the War of the Austrian Succession and the French Revolutionary Wars.
-
B.
Count of Vechta
Count of Vechta was a noble title in the Holy Roman Empire associated with the territory around the town of Vechta in present-day Lower Saxony, Germany.
-
C.
Van Doos
Van Doos is the English nickname for the Royal 22e Régiment, a famed French-speaking infantry regiment of the Canadian Army.
-
D.
PVV
PVV is a Dutch right-wing populist political party led by Geert Wilders, known for its anti-immigration and Eurosceptic positions.
-
E.
Vitesse Arnhem
Vitesse Arnhem is a professional football club from Arnhem, Netherlands, known for competing in the Dutch Eredivisie.
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421fb8348190b6495394d498d3f4 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc640dbab881908a8142ac472f3408 |
completed | April 1, 2026, 12:17 a.m. |
| NEDg | Description generation | batch_69cc651e3b4c81908408c9f08eca8e09 |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc69531a3c8190b712b3df6beefb7b |
completed | April 1, 2026, 12:39 a.m. |
Created at: March 30, 2026, 5:29 p.m.