Triple
T11371146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veluwe |
E269342
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Randmeren
Randmeren is a chain of shallow border lakes in the central Netherlands that separates the former island of Flevoland from the older mainland provinces.
|
E921869
|
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: Randmeren | Statement: [Veluwe, borders, Randmeren]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Randmeren Context triple: [Veluwe, borders, Randmeren]
-
A.
Heenweg
Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
-
B.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
C.
Renkum
Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
-
D.
Driewegen
Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
E.
Rijen
Rijen is a town in the Dutch province of North Brabant that serves as the main population center of the municipality of Gilze en Rijen.
- 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: Randmeren Triple: [Veluwe, borders, Randmeren]
Generated description
Randmeren is a chain of shallow border lakes in the central Netherlands that separates the former island of Flevoland from the older mainland provinces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Randmeren Target entity description: Randmeren is a chain of shallow border lakes in the central Netherlands that separates the former island of Flevoland from the older mainland provinces.
-
A.
Heenweg
Heenweg is a small village in the Dutch municipality of Westland in the province of South Holland, Netherlands.
-
B.
Heemraadlaan
Heemraadlaan is a metro station in Spijkenisse, Netherlands, serving as part of the Rotterdam Metro network.
-
C.
Renkum
Renkum is a municipality and town in the province of Gelderland in the eastern Netherlands, known for its riverside landscapes and proximity to the city of Arnhem.
-
D.
Driewegen
Driewegen is a small village in the Dutch province of Zeeland, located within the municipality of Borsele.
-
E.
Rijen
Rijen is a town in the Dutch province of North Brabant that serves as the main population center of the municipality of Gilze en Rijen.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7ea8b196881909af9b138661e816d |
completed | April 9, 2026, 6:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5568516a481909ea66cbe53968e84 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c7de3c8190befb6d7131129a2c |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56a776390819082d47ad00cf1862b |
completed | April 19, 2026, 11:51 p.m. |
Created at: April 8, 2026, 9:33 p.m.