Triple
T8346553
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zwijndrecht |
E196049
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
vv Groote Lindt
vv Groote Lindt is a Dutch amateur football club based in the town of Zwijndrecht in South Holland.
|
E728651
|
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 Groote Lindt | Statement: [Zwijndrecht, hasSportsClub, vv Groote Lindt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: vv Groote Lindt Context triple: [Zwijndrecht, hasSportsClub, vv Groote Lindt]
-
A.
Lindt & Sprüngli
Lindt & Sprüngli is a Swiss premium chocolate and confectionery manufacturer renowned worldwide for its high-quality chocolate bars, pralines, and seasonal specialties.
-
B.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
C.
Lunner
Lunner is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and role as part of the Hadeland traditional district.
-
D.
Veermansplaat
Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
-
E.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
- 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 Groote Lindt Triple: [Zwijndrecht, hasSportsClub, vv Groote Lindt]
Generated description
vv Groote Lindt is a Dutch amateur football club based in the town of Zwijndrecht in South Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: vv Groote Lindt Target entity description: vv Groote Lindt is a Dutch amateur football club based in the town of Zwijndrecht in South Holland.
-
A.
Lindt & Sprüngli
Lindt & Sprüngli is a Swiss premium chocolate and confectionery manufacturer renowned worldwide for its high-quality chocolate bars, pralines, and seasonal specialties.
-
B.
Vitarte
Vitarte is a district of Lima, Peru, known for its industrial activity and dense urban population.
-
C.
Lunner
Lunner is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and role as part of the Hadeland traditional district.
-
D.
Veermansplaat
Veermansplaat is a small, uninhabited island and nature area located in the Grevelingen estuary in the southwestern Netherlands.
-
E.
Tönisvorst
Tönisvorst is a small town in North Rhine-Westphalia, western Germany, known for its agricultural surroundings and proximity to the city of Krefeld.
- 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_69ca82edd63c8190b876b8465464c5fa |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb8013d81c81908da48466cffb3939 |
completed | March 31, 2026, 8:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cdc745f33c8190a043aff437874391 |
completed | April 2, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69cdcc8596888190867bb0f298b6fac1 |
completed | April 2, 2026, 1:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cdd14de9408190a5522fbdbef4d748 |
completed | April 2, 2026, 2:15 a.m. |
Created at: March 30, 2026, 5:58 p.m.