Triple
T15621748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sneek |
E375572
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
ONS Sneek
ONS Sneek is a Dutch football club based in the city of Sneek in the province of Friesland.
|
E1167887
|
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: ONS Sneek | Statement: [Sneek, hasSportsClub, ONS Sneek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ONS Sneek Context triple: [Sneek, hasSportsClub, ONS Sneek]
-
A.
Sneek, Netherlands
Sneek is a historic city in the Dutch province of Friesland, known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
B.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
C.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
D.
Slochteren
Slochteren is a village and former municipality in the province of Groningen in the Netherlands, historically known for its large natural gas field.
-
E.
Schoondijke
Schoondijke is a village in the Dutch province of Zeeland, known for its rural character and location near the North Sea coast.
- 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: ONS Sneek Triple: [Sneek, hasSportsClub, ONS Sneek]
Generated description
ONS Sneek is a Dutch football club based in the city of Sneek in the province of Friesland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ONS Sneek Target entity description: ONS Sneek is a Dutch football club based in the city of Sneek in the province of Friesland.
-
A.
Sneek, Netherlands
Sneek is a historic city in the Dutch province of Friesland, known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
B.
Sneek
Sneek is a historic Dutch city known for its waterways, sailing culture, and the iconic Waterpoort gate.
-
C.
Schoorl
Schoorl is a coastal village in North Holland, the Netherlands, known for its extensive dune landscapes and as the birthplace of Renaissance painter Jan van Scorel.
-
D.
Slochteren
Slochteren is a village and former municipality in the province of Groningen in the Netherlands, historically known for its large natural gas field.
-
E.
Schoondijke
Schoondijke is a village in the Dutch province of Zeeland, known for its rural character and location near the North Sea coast.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9a95f08190b0013ba1428849d3 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff5f3da754819085a6bd9876b12c65 |
completed | May 9, 2026, 4:22 p.m. |
| NEDg | Description generation | batch_69ff605d94308190bccbfb4588f337e1 |
completed | May 9, 2026, 4:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff612340748190987e567e43460f62 |
completed | May 9, 2026, 4:30 p.m. |
Created at: April 10, 2026, 4:13 a.m.