Triple
T3370197
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vianen |
E70934
|
entity |
| Predicate | hasNotableStructure |
P105
|
FINISHED |
| Object |
Lekbrug bij Vianen
Lekbrug bij Vianen is a prominent road bridge spanning the River Lek near the town of Vianen in the Netherlands, serving as an important regional traffic connection.
|
E353851
|
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: Lekbrug bij Vianen | Statement: [Vianen, hasNotableStructure, Lekbrug bij Vianen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lekbrug bij Vianen Context triple: [Vianen, hasNotableStructure, Lekbrug bij Vianen]
-
A.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
B.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
C.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
D.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
-
E.
Hofvijver
Hofvijver is a historic artificial lake in the center of The Hague, Netherlands, renowned for its scenic setting beside the Dutch parliamentary complex and its role as a city landmark.
- 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: Lekbrug bij Vianen Triple: [Vianen, hasNotableStructure, Lekbrug bij Vianen]
Generated description
Lekbrug bij Vianen is a prominent road bridge spanning the River Lek near the town of Vianen in the Netherlands, serving as an important regional traffic connection.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lekbrug bij Vianen Target entity description: Lekbrug bij Vianen is a prominent road bridge spanning the River Lek near the town of Vianen in the Netherlands, serving as an important regional traffic connection.
-
A.
Nissewaard
Nissewaard is a municipality and town in the western Netherlands, located on the island of Voorne-Putten in the province of South Holland.
-
B.
Soestdijk
Soestdijk is a village in the Netherlands known for its historic royal residence, Soestdijk Palace.
-
C.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
D.
Strandvliet
Strandvliet is a metro station in Amsterdam that serves passengers on the city's rapid transit network.
-
E.
Hofvijver
Hofvijver is a historic artificial lake in the center of The Hague, Netherlands, renowned for its scenic setting beside the Dutch parliamentary complex and its role as a city landmark.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2b9b1fc8190a2cbf040ea808baf |
completed | March 8, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b334396f588190add5c0c27949650c |
completed | March 12, 2026, 9:46 p.m. |
| NEDg | Description generation | batch_69b334d1e3348190b231a33058ee08a5 |
completed | March 12, 2026, 9:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b33901299481908615762989e45e7c |
completed | March 12, 2026, 10:06 p.m. |
Created at: March 8, 2026, 3:13 p.m.