Triple
T6793641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Limburg |
E155996
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Simpelveld
Simpelveld is a municipality and village in the hilly, historically rich region of South Limburg in the Dutch province of Limburg.
|
E619987
|
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: Simpelveld | Statement: [South Limburg, contains, Simpelveld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Simpelveld Context triple: [South Limburg, contains, Simpelveld]
-
A.
Noordenveld
Noordenveld is a municipality in the northeastern Netherlands known for its rural landscapes, historic villages, and location within the province of Drenthe.
-
B.
Renswoude
Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
-
C.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
D.
Aarlanderveen
Aarlanderveen is a village in the Dutch province of South Holland, known for its polder landscape and traditional windmills.
-
E.
Rijnsaterwoude
Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
- 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: Simpelveld Triple: [South Limburg, contains, Simpelveld]
Generated description
Simpelveld is a municipality and village in the hilly, historically rich region of South Limburg in the Dutch province of Limburg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Simpelveld Target entity description: Simpelveld is a municipality and village in the hilly, historically rich region of South Limburg in the Dutch province of Limburg.
-
A.
Noordenveld
Noordenveld is a municipality in the northeastern Netherlands known for its rural landscapes, historic villages, and location within the province of Drenthe.
-
B.
Renswoude
Renswoude is a small rural municipality in the Dutch province of Utrecht, known for its historic estates and agricultural landscape.
-
C.
Geervliet
Geervliet is a small historic town in the western Netherlands, located in the province of South Holland.
-
D.
Aarlanderveen
Aarlanderveen is a village in the Dutch province of South Holland, known for its polder landscape and traditional windmills.
-
E.
Rijnsaterwoude
Rijnsaterwoude is a small village in the Dutch province of South Holland, known for its rural character and location amid the lakes and polders of the Kaag en Braassem area.
- 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_69c6881844448190a65822d9b39d7f88 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2af6f908190809e39b73894e513 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a90dfb081909120e8502b26a88b |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b88b27c8190b803f0e9f6402c44 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c91e08c81908be81efc2087464a |
completed | March 28, 2026, 12:10 a.m. |
Created at: March 27, 2026, 2:15 p.m.