Triple
T565113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Holland |
E13536
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Capelle aan den IJssel
Capelle aan den IJssel is a suburban city in the western Netherlands, located just east of Rotterdam along the river IJssel.
|
E173315
|
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: Capelle aan den IJssel | Statement: [South Holland, containsCity, Capelle aan den IJssel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Capelle aan den IJssel Context triple: [South Holland, containsCity, Capelle aan den IJssel]
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
C.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
D.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
E.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
- 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: Capelle aan den IJssel Triple: [South Holland, containsCity, Capelle aan den IJssel]
Generated description
Capelle aan den IJssel is a suburban city in the western Netherlands, located just east of Rotterdam along the river IJssel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Capelle aan den IJssel Target entity description: Capelle aan den IJssel is a suburban city in the western Netherlands, located just east of Rotterdam along the river IJssel.
-
A.
Uithoorn
Uithoorn is a town and municipality in the province of North Holland in the Netherlands, situated along the Amstel River.
-
B.
Heemstede
Heemstede is a town and municipality in the province of North Holland in the Netherlands, known as a leafy residential suburb near Haarlem.
-
C.
Maassluis
Maassluis is a historic port town in the province of South Holland in the Netherlands, situated along the Nieuwe Waterweg west of Rotterdam.
-
D.
Nieuwendijk
Nieuwendijk is one of Amsterdam’s oldest and busiest shopping streets, running through the historic city center near Dam Square.
-
E.
Aalsmeer
Aalsmeer is a Dutch town in North Holland best known as a global center for the flower and plant trade, hosting one of the world’s largest flower auctions.
- 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49a74793481908fee3baff0b1d348 |
completed | March 1, 2026, 7:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad22fb5b30819086622f751a065b7a |
completed | March 8, 2026, 7:19 a.m. |
| NEDg | Description generation | batch_69ad2580f68881909a0fa55f3167fb9c |
completed | March 8, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad26d7f81881908cdb25bf098e0f8e |
completed | March 8, 2026, 7:35 a.m. |
Created at: March 1, 2026, 7:32 p.m.