Triple
T1464947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IJssel |
E27000
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Doesburg
Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
|
E172118
|
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: Doesburg | Statement: [IJssel, passesThrough, Doesburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doesburg Context triple: [IJssel, passesThrough, Doesburg]
-
A.
Sporenburg
Sporenburg is a residential peninsula in Amsterdam known for its modern architecture and innovative urban design within the city’s Eastern Docklands.
-
B.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
C.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
D.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
E.
Dendermonde
Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
- 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: Doesburg Triple: [IJssel, passesThrough, Doesburg]
Generated description
Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doesburg Target entity description: Doesburg is a historic city in the Dutch province of Gelderland, known for its well-preserved medieval center and location at the confluence of the IJssel and Oude IJssel rivers.
-
A.
Sporenburg
Sporenburg is a residential peninsula in Amsterdam known for its modern architecture and innovative urban design within the city’s Eastern Docklands.
-
B.
Valkenburg
Valkenburg is a village in the Dutch province of South Holland, known for its historic charm and proximity to the North Sea coast.
-
C.
Herkinge
Herkinge is a small settlement located in the Dutch province of South Holland.
-
D.
Beinsdorp
Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
-
E.
Dendermonde
Dendermonde is a historic city in East Flanders, Belgium, known for its medieval architecture and UNESCO-recognized Ros Beiaard procession.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5ba2d5c81909ee85713de961fcb |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad232ab26c8190aa9fc95ff2fcf0eb |
completed | March 8, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69ad23b8d570819099b953c7a60e9445 |
completed | March 8, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad248193ec8190b0c08ef979661af0 |
completed | March 8, 2026, 7:25 a.m. |
Created at: March 1, 2026, 8:01 p.m.