Triple
T19720831
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Groningen |
E473602
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Prinsentuin
Prinsentuin is a historic Renaissance-style garden in the Dutch city of Groningen, known for its ornamental layouts, rose gardens, and tranquil atmosphere.
|
E1391798
|
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: Prinsentuin | Statement: [Groningen, hasLandmark, Prinsentuin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prinsentuin Context triple: [Groningen, hasLandmark, Prinsentuin]
-
A.
Princess Fairytale Hall
Princess Fairytale Hall is an indoor royal-themed meet-and-greet attraction at Magic Kingdom where guests can meet and take photos with Disney princesses.
-
B.
Kongens Have
Kongens Have is a historic public park in central Copenhagen, Denmark, surrounding Rosenborg Castle and serving as one of the city's most popular green spaces.
-
C.
Het Loo
Het Loo is a small hamlet in the municipality of Losser in the eastern Netherlands.
-
D.
Retting Palace
Retting Palace is a historic building in Turku, Finland, best known today as the home of the Aboa Vetus & Ars Nova Museum of archaeology and contemporary art.
-
E.
The Palace
The Palace is a British satirical television drama that imagines the inner workings and scandals of a fictional modern royal family.
- 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: Prinsentuin Triple: [Groningen, hasLandmark, Prinsentuin]
Generated description
Prinsentuin is a historic Renaissance-style garden in the Dutch city of Groningen, known for its ornamental layouts, rose gardens, and tranquil atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Prinsentuin Target entity description: Prinsentuin is a historic Renaissance-style garden in the Dutch city of Groningen, known for its ornamental layouts, rose gardens, and tranquil atmosphere.
-
A.
Princess Fairytale Hall
Princess Fairytale Hall is an indoor royal-themed meet-and-greet attraction at Magic Kingdom where guests can meet and take photos with Disney princesses.
-
B.
Kongens Have
Kongens Have is a historic public park in central Copenhagen, Denmark, surrounding Rosenborg Castle and serving as one of the city's most popular green spaces.
-
C.
Het Loo
Het Loo is a small hamlet in the municipality of Losser in the eastern Netherlands.
-
D.
Retting Palace
Retting Palace is a historic building in Turku, Finland, best known today as the home of the Aboa Vetus & Ars Nova Museum of archaeology and contemporary art.
-
E.
The Palace
The Palace is a British satirical television drama that imagines the inner workings and scandals of a fictional modern royal family.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07aba719b48190a8ce14facba8f7d6 |
completed | May 15, 2026, 11:26 p.m. |
| NEDg | Description generation | batch_6a07adc08ca081908df09c099cb710c2 |
completed | May 15, 2026, 11:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07ae4ba5a88190a6ab297fb99cdd9d |
completed | May 15, 2026, 11:37 p.m. |
Created at: April 10, 2026, 1:46 p.m.