Triple
T6689029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waddinxveen |
E152575
|
entity |
| Predicate | hasRiverCrossing |
P1970
|
FINISHED |
| Object |
Brug Waddinxveen
Brug Waddinxveen is a bridge in the Dutch town of Waddinxveen that carries traffic across the Gouwe River.
|
E611138
|
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: Brug Waddinxveen | Statement: [Waddinxveen, hasRiverCrossing, Brug Waddinxveen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brug Waddinxveen Context triple: [Waddinxveen, hasRiverCrossing, Brug Waddinxveen]
-
A.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
B.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
C.
Brecqhou
Brecqhou is a small, privately owned island off the coast of Sark in the English Channel, known for its exclusive residence and limited public access.
-
D.
Lessines
Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
-
E.
Soesterduinen
Soesterduinen is a scenic sand dune and heathland nature area in the Netherlands, popular for walking, cycling, and outdoor recreation.
- 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: Brug Waddinxveen Triple: [Waddinxveen, hasRiverCrossing, Brug Waddinxveen]
Generated description
Brug Waddinxveen is a bridge in the Dutch town of Waddinxveen that carries traffic across the Gouwe River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Brug Waddinxveen Target entity description: Brug Waddinxveen is a bridge in the Dutch town of Waddinxveen that carries traffic across the Gouwe River.
-
A.
Wessum
Wessum is a village and district within the town of Ahaus in the state of North Rhine-Westphalia, Germany.
-
B.
Veendam
Veendam is a town and municipality in the province of Groningen in the northeastern Netherlands, historically known for peat extraction and later for its industrial development.
-
C.
Brecqhou
Brecqhou is a small, privately owned island off the coast of Sark in the English Channel, known for its exclusive residence and limited public access.
-
D.
Lessines
Lessines is a historic town in the Hainaut province of Wallonia, Belgium, known for its old stone quarries and the former Hôpital Notre-Dame à la Rose.
-
E.
Soesterduinen
Soesterduinen is a scenic sand dune and heathland nature area in the Netherlands, popular for walking, cycling, and outdoor recreation.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6b14feb28819097bc157df8a2f96e |
completed | March 27, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6f7b519148190a810d0eee7cda734 |
completed | March 27, 2026, 9:33 p.m. |
| NEDg | Description generation | batch_69c6f9b3513481909d6e0856f887d3fa |
completed | March 27, 2026, 9:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6fa1cb9e881908e030cb70c608a3c |
completed | March 27, 2026, 9:43 p.m. |
Created at: March 27, 2026, 2:04 p.m.