Triple
T6831445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jopenkerk brewery |
E157146
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object |
Jopen
Jopen is a Dutch craft brewery known for reviving historic Haarlem beer recipes and producing a wide range of specialty and innovative beers.
|
E621883
|
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: Jopen | Statement: [Jopenkerk brewery, operatedBy, Jopen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jopen Context triple: [Jopenkerk brewery, operatedBy, Jopen]
-
A.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
B.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
C.
Tromp
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
D.
Dukawa
Dukawa are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi and Niger States and known for their distinct language and traditional agrarian lifestyle.
-
E.
Kagel
Kagel is a small village in the municipality of Grünheide (Mark) in the Oder-Spree district of Brandenburg, 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: Jopen Triple: [Jopenkerk brewery, operatedBy, Jopen]
Generated description
Jopen is a Dutch craft brewery known for reviving historic Haarlem beer recipes and producing a wide range of specialty and innovative beers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jopen Target entity description: Jopen is a Dutch craft brewery known for reviving historic Haarlem beer recipes and producing a wide range of specialty and innovative beers.
-
A.
Molitor
Molitor is a surname most notably associated with Paul Molitor, a Hall of Fame Major League Baseball player and manager.
-
B.
Bola
Bola is the given name of Bola Tinubu, a prominent Nigerian politician and current president of Nigeria.
-
C.
Tromp
Tromp is a Dutch surname most famously associated with the 17th-century admiral Cornelis Tromp and his naval family.
-
D.
Dukawa
Dukawa are an ethnic group in northwestern Nigeria, primarily inhabiting rural areas of Kebbi and Niger States and known for their distinct language and traditional agrarian lifestyle.
-
E.
Kagel
Kagel is a small village in the municipality of Grünheide (Mark) in the Oder-Spree district of Brandenburg, 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d62992908190996efab71cbf70f0 |
completed | March 27, 2026, 7:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723fab0a4819080d7cd9cb4dddd33 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c724b7b31081909c2bab4a3ba6e9f9 |
completed | March 28, 2026, 12:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c72536c4808190b9012e282cf02da4 |
completed | March 28, 2026, 12:47 a.m. |
Created at: March 27, 2026, 2:18 p.m.