Triple
T7653391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capelle aan den IJssel |
E173315
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
’s-Gravenland
’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
|
E681493
|
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: ’s-Gravenland | Statement: [Capelle aan den IJssel, hasDistrict, ’s-Gravenland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ’s-Gravenland Context triple: [Capelle aan den IJssel, hasDistrict, ’s-Gravenland]
-
A.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
-
B.
Lansingerland
Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
-
C.
Dinkelland
Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
-
D.
Rietlanden
Rietlanden is a waterfront area in Amsterdam’s Eastern Docklands, known for its former industrial port functions and subsequent urban redevelopment.
-
E.
Foosland
Foosland is a small village located in Champaign County, Illinois, United States.
- 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: ’s-Gravenland Triple: [Capelle aan den IJssel, hasDistrict, ’s-Gravenland]
Generated description
’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ’s-Gravenland Target entity description: ’s-Gravenland is a residential district in the Dutch city of Capelle aan den IJssel, located in the province of South Holland.
-
A.
Landsmeer
Landsmeer is a small Dutch town and municipality in North Holland, situated just north of Amsterdam and known for its watery landscapes and nature reserves.
-
B.
Lansingerland
Lansingerland is a Dutch municipality in the province of South Holland, known for its suburban communities and greenhouse horticulture near the city of Rotterdam.
-
C.
Dinkelland
Dinkelland is a rural municipality in the eastern Netherlands, located in the Twente region of the province of Overijssel near the German border.
-
D.
Rietlanden
Rietlanden is a waterfront area in Amsterdam’s Eastern Docklands, known for its former industrial port functions and subsequent urban redevelopment.
-
E.
Foosland
Foosland is a small village located in Champaign County, Illinois, United States.
- 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_69c6995473348190a4f41d110d619a18 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7018c34a88190be6089a9105bd4b0 |
completed | March 27, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8a21b1ca881908ee73a418d4069a7 |
completed | March 29, 2026, 3:52 a.m. |
| NEDg | Description generation | batch_69c8a2dd5d308190b8a463f0cd5c0f78 |
completed | March 29, 2026, 3:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8a33a9cb08190b6943ad387f83cab |
completed | March 29, 2026, 3:57 a.m. |
Created at: March 27, 2026, 3:59 p.m.