Triple
T13103270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | De Kwakel |
E310771
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
SV Kwakel
SV Kwakel is a local Dutch sports club based in the village of De Kwakel, typically known for its amateur football activities.
|
E1019203
|
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: SV Kwakel | Statement: [De Kwakel, hasSportsClub, SV Kwakel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SV Kwakel Context triple: [De Kwakel, hasSportsClub, SV Kwakel]
-
A.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
B.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
C.
Sytse Sijbrandij
Sytse Sijbrandij is a Dutch entrepreneur best known as the co-founder and CEO of the DevOps platform company GitLab.
-
D.
Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
-
E.
Kwade Hoek
Kwade Hoek is a coastal nature reserve in the Netherlands known for its salt marshes, dunes, and rich birdlife.
- 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: SV Kwakel Triple: [De Kwakel, hasSportsClub, SV Kwakel]
Generated description
SV Kwakel is a local Dutch sports club based in the village of De Kwakel, typically known for its amateur football activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SV Kwakel Target entity description: SV Kwakel is a local Dutch sports club based in the village of De Kwakel, typically known for its amateur football activities.
-
A.
Theo Heemskerk
Theo Heemskerk was a Dutch politician who served as Prime Minister of the Netherlands in the early 20th century.
-
B.
Van der Madeweg
Van der Madeweg is a metro station in Amsterdam that serves as a stop on the city's rapid transit network.
-
C.
Sytse Sijbrandij
Sytse Sijbrandij is a Dutch entrepreneur best known as the co-founder and CEO of the DevOps platform company GitLab.
-
D.
Lieftinck
Lieftinck is a Dutch surname most notably associated with Piet Lieftinck, a prominent mid-20th-century Dutch politician and economist.
-
E.
Kwade Hoek
Kwade Hoek is a coastal nature reserve in the Netherlands known for its salt marshes, dunes, and rich birdlife.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61d88888190bfc631b759f14598 |
completed | May 3, 2026, 4:59 a.m. |
| NEDg | Description generation | batch_69f6d7123cc48190985360c3ab76a6d0 |
completed | May 3, 2026, 5:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6d7bc235481909799b57e44f0aef2 |
completed | May 3, 2026, 5:06 a.m. |
Created at: April 9, 2026, 9:04 p.m.