Triple
T17533025
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barneveld |
E426985
|
entity |
| Predicate | hasRailwayStation |
P918
|
FINISHED |
| Object |
Barneveld Centrum
Barneveld Centrum is a railway station serving the town of Barneveld in the province of Gelderland in the Netherlands.
|
E426985
|
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: Barneveld Centrum | Statement: [Barneveld, hasRailwayStation, Barneveld Centrum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barneveld Centrum Context triple: [Barneveld, hasRailwayStation, Barneveld Centrum]
-
A.
Barneveld
Barneveld is a municipality and town in the Dutch province of Gelderland, known for its poultry industry and central location in the Netherlands.
-
B.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
C.
Troonplein
Troonplein is a prominent square in Brussels, Belgium, located near key government buildings and the Royal Palace.
-
D.
Janskerkhof
Janskerkhof is a historic square in the center of Utrecht, Netherlands, known for its weekly flower market and proximity to the former St. John's Church.
-
E.
Diemen-Centrum
Diemen-Centrum is the central urban district of the Dutch town of Diemen, featuring its main shopping streets, services, and local amenities.
- 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: Barneveld Centrum Triple: [Barneveld, hasRailwayStation, Barneveld Centrum]
Generated description
Barneveld Centrum is a railway station serving the town of Barneveld in the province of Gelderland in the Netherlands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barneveld Centrum Target entity description: Barneveld Centrum is a railway station serving the town of Barneveld in the province of Gelderland in the Netherlands.
-
A.
Barneveld
chosen
Barneveld is a municipality and town in the Dutch province of Gelderland, known for its poultry industry and central location in the Netherlands.
-
B.
Begijnhof
Begijnhof is a historic, secluded courtyard in central Amsterdam known for its preserved medieval houses and former beguine community.
-
C.
Troonplein
Troonplein is a prominent square in Brussels, Belgium, located near key government buildings and the Royal Palace.
-
D.
Janskerkhof
Janskerkhof is a historic square in the center of Utrecht, Netherlands, known for its weekly flower market and proximity to the former St. John's Church.
-
E.
Diemen-Centrum
Diemen-Centrum is the central urban district of the Dutch town of Diemen, featuring its main shopping streets, services, and local amenities.
- F. None of above.
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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536a0f588190ade91d32308897a0 |
completed | April 19, 2026, 4 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01c94e4e208190a241ea586d3f3a38 |
completed | May 11, 2026, 12:19 p.m. |
| NEDg | Description generation | batch_6a01ca84f3388190aa2eda694f91a17b |
completed | May 11, 2026, 12:24 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a01cb0b3cec8190afc6cf6dd1e4d896 |
completed | May 11, 2026, 12:26 p.m. |
Created at: April 10, 2026, 5:49 a.m.