Triple
T12129198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Utrecht |
E288888
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object |
Hoog Catharijne
Hoog Catharijne is a large, modern shopping mall and transit hub in the center of Utrecht, Netherlands.
|
E967945
|
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: Hoog Catharijne | Statement: [Utrecht, hasLandmark, Hoog Catharijne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoog Catharijne Context triple: [Utrecht, hasLandmark, Hoog Catharijne]
-
A.
Geertruida
Geertruida is a Dutch feminine given name, corresponding to the English name Gertrude.
-
B.
Sint-Joris
Sint-Joris is a village and sub-municipality of Nieuwpoort in West Flanders, Belgium, known for its rural character and proximity to the Yser River.
-
C.
Sint Anthonis
Sint Anthonis is a village in the Dutch province of North Brabant, known for its rural character and surrounding heath and forest landscapes.
-
D.
Dignom Cornelisdochter de Haes
Dignom Cornelisdochter de Haes was the wife of Dutch admiral Maarten Tromp, a prominent naval commander of the 17th century.
-
E.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
- 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: Hoog Catharijne Triple: [Utrecht, hasLandmark, Hoog Catharijne]
Generated description
Hoog Catharijne is a large, modern shopping mall and transit hub in the center of Utrecht, Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoog Catharijne Target entity description: Hoog Catharijne is a large, modern shopping mall and transit hub in the center of Utrecht, Netherlands.
-
A.
Geertruida
Geertruida is a Dutch feminine given name, corresponding to the English name Gertrude.
-
B.
Sint-Joris
Sint-Joris is a village and sub-municipality of Nieuwpoort in West Flanders, Belgium, known for its rural character and proximity to the Yser River.
-
C.
Sint Anthonis
Sint Anthonis is a village in the Dutch province of North Brabant, known for its rural character and surrounding heath and forest landscapes.
-
D.
Dignom Cornelisdochter de Haes
Dignom Cornelisdochter de Haes was the wife of Dutch admiral Maarten Tromp, a prominent naval commander of the 17th century.
-
E.
Boesinghe
Boesinghe is a village in West Flanders, Belgium, known for its proximity to key World War I battlefields along the Yser Front.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9158a2c2c8190aaff9d0cce177565 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f68ac15c81908388dd3194e9dfc4 |
completed | May 2, 2026, 1:05 p.m. |
| NEDg | Description generation | batch_69f6048d6f24819093862fb46f9938f1 |
completed | May 2, 2026, 2:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6056e3fdc81908e6e97c4c37a18bb |
completed | May 2, 2026, 2:08 p.m. |
Created at: April 8, 2026, 9:49 p.m.