Triple
T1899306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Dutch Mint |
E37655
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Houten
Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
|
E660008
|
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: Houten | Statement: [Royal Dutch Mint, locatedIn, Houten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houten Context triple: [Royal Dutch Mint, locatedIn, Houten]
-
A.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
B.
Hoofddorp
Hoofddorp is the main town and administrative center of the municipality of Haarlemmermeer in the Netherlands.
-
C.
Weesp
Weesp is a historic town in the province of North Holland in the Netherlands, known for its canals, fortified structures, and traditional Dutch architecture.
-
D.
Zoeterwoude
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
E.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
- 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: Houten Triple: [Royal Dutch Mint, locatedIn, Houten]
Generated description
Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Houten Target entity description: Houten is a Dutch town in the province of Utrecht, known for its bicycle-friendly urban design and as the home of the Royal Dutch Mint.
-
A.
Oosterhout
Oosterhout is a town and municipality in the southern Netherlands known for its historic monasteries and proximity to the city of Breda.
-
B.
Hoofddorp
Hoofddorp is the main town and administrative center of the municipality of Haarlemmermeer in the Netherlands.
-
C.
Weesp
Weesp is a historic town in the province of North Holland in the Netherlands, known for its canals, fortified structures, and traditional Dutch architecture.
-
D.
Zoeterwoude
Zoeterwoude is a small Dutch municipality and village known for its rural character and location near Leiden in the province of South Holland.
-
E.
Barendrecht
Barendrecht is a suburban town in the western Netherlands, located just south of Rotterdam and known for its residential character and logistics industry.
- 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_69a8861be7148190a680937ec451a304 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb17181b0819090683c55fd1352cb |
completed | March 7, 2026, 5:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c80294e8bc8190bfaab1d02e1640a6 |
completed | March 28, 2026, 4:32 p.m. |
| NEDg | Description generation | batch_69c804638c1481909c72e58432a4eaff |
completed | March 28, 2026, 4:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8050e70108190b2cc0d2d30ddf139 |
completed | March 28, 2026, 4:42 p.m. |
Created at: March 4, 2026, 7:35 p.m.