Triple
T1876336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kaag en Braassem |
E39152
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Leimuiden
Leimuiden is a village in the Dutch province of South Holland, known for its location near several lakes and waterways.
|
E209246
|
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: Leimuiden | Statement: [Kaag en Braassem, hasSettlement, Leimuiden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leimuiden Context triple: [Kaag en Braassem, hasSettlement, Leimuiden]
-
A.
Leijonat
Leijonat is the widely used Finnish nickname for Finland’s men’s national ice hockey team, literally meaning “The Lions.”
-
B.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
C.
Laihia
Laihia is a rural municipality in western Finland known for its strong agricultural traditions and reputation for frugality in local folklore.
-
D.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
E.
Almatti
Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
- 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: Leimuiden Triple: [Kaag en Braassem, hasSettlement, Leimuiden]
Generated description
Leimuiden is a village in the Dutch province of South Holland, known for its location near several lakes and waterways.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Leimuiden Target entity description: Leimuiden is a village in the Dutch province of South Holland, known for its location near several lakes and waterways.
-
A.
Leijonat
Leijonat is the widely used Finnish nickname for Finland’s men’s national ice hockey team, literally meaning “The Lions.”
-
B.
Emmen
Emmen is a major town and economic center in the northeastern Netherlands, known for its modern urban layout and attractions such as the Wildlands Adventure Zoo.
-
C.
Laihia
Laihia is a rural municipality in western Finland known for its strong agricultural traditions and reputation for frugality in local folklore.
-
D.
Märsta
Märsta is a town in Stockholm County, Sweden, known as a residential and transport hub near Stockholm Arlanda Airport.
-
E.
Almatti
Almatti is a town in the Bagalkot district of Karnataka, India, known for its proximity to the major Almatti Dam on the Krishna River.
- 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_69a8862f7074819096afe7fe65e179e9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0d902ac8190a2d9bb6f683986e4 |
completed | March 7, 2026, 5 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69addf56e2748190a2044d33d29d8324 |
completed | March 8, 2026, 8:43 p.m. |
| NEDg | Description generation | batch_69addfe46b388190b319043170253701 |
completed | March 8, 2026, 8:45 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ade08d0ce0819097beb901dbb39d89 |
completed | March 8, 2026, 8:48 p.m. |
Created at: March 4, 2026, 7:34 p.m.