Triple
T7190826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJssel |
E167684
|
entity |
| Predicate | tributary |
P415
|
FINISHED |
| Object |
Schipbeek
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
|
E775547
|
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: Schipbeek | Statement: [IJssel, tributary, Schipbeek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Schipbeek Context triple: [IJssel, tributary, Schipbeek]
-
A.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
B.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
C.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
-
D.
Steenokkerzeel
Steenokkerzeel is a municipality in the Belgian province of Flemish Brabant, known for its proximity to Brussels and its location near major transport infrastructure.
-
E.
Biezelinge
Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
- 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: Schipbeek Triple: [IJssel, tributary, Schipbeek]
Generated description
Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Schipbeek Target entity description: Schipbeek is a small river in the eastern Netherlands that flows through the provinces of Overijssel and Gelderland before joining the IJssel.
-
A.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
B.
Maasbracht
Maasbracht is a town in the Dutch province of Limburg, known as an inland port and industrial center along the River Meuse.
-
C.
Strombeek-Bever
Strombeek-Bever is a suburban village in Flemish Brabant, Belgium, known for its proximity to Brussels and its role as a residential part of the Grimbergen municipality.
-
D.
Steenokkerzeel
Steenokkerzeel is a municipality in the Belgian province of Flemish Brabant, known for its proximity to Brussels and its location near major transport infrastructure.
-
E.
Biezelinge
Biezelinge is a small village in the Dutch province of Zeeland, known as the birthplace of former Prime Minister Jan Peter Balkenende.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e90087208190a65e49ae0e8a7cbf |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffd37b54881908c67d5746f9ef39e |
completed | April 3, 2026, 5:47 p.m. |
| NEDg | Description generation | batch_69cfff51b8c0819093b2c348fd7819fe |
completed | April 3, 2026, 5:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0014b9c108190b4abe8c974677d31 |
completed | April 3, 2026, 6:04 p.m. |
Created at: March 27, 2026, 2:50 p.m.