Triple
T5807963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salland |
E128791
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Lemelerveld
Lemelerveld is a village in the Dutch province of Overijssel, situated in the Salland region.
|
E547514
|
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: Lemelerveld | Statement: [Salland, contains, Lemelerveld]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lemelerveld Context triple: [Salland, contains, Lemelerveld]
-
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.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
C.
Voornes Duin
Voornes Duin is a coastal dune nature reserve in the Dutch province of South Holland, known for its diverse landscapes, rich birdlife, and extensive walking and cycling trails.
-
D.
Neerpelt
Neerpelt is a town in the Belgian province of Limburg, known for its green surroundings and cultural events.
-
E.
Haagse Bos
Haagse Bos is a historic forested park in The Hague, Netherlands, known as one of the country’s oldest woodlands and for containing the royal residence Huis ten Bosch.
- 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: Lemelerveld Triple: [Salland, contains, Lemelerveld]
Generated description
Lemelerveld is a village in the Dutch province of Overijssel, situated in the Salland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lemelerveld Target entity description: Lemelerveld is a village in the Dutch province of Overijssel, situated in the Salland region.
-
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.
Krimpenerwaard
Krimpenerwaard is a rural municipality in the Dutch province of South Holland, known for its polder landscapes, dikes, and traditional villages between the rivers Lek and Hollandse IJssel.
-
C.
Voornes Duin
Voornes Duin is a coastal dune nature reserve in the Dutch province of South Holland, known for its diverse landscapes, rich birdlife, and extensive walking and cycling trails.
-
D.
Neerpelt
Neerpelt is a town in the Belgian province of Limburg, known for its green surroundings and cultural events.
-
E.
Haagse Bos
Haagse Bos is a historic forested park in The Hague, Netherlands, known as one of the country’s oldest woodlands and for containing the royal residence Huis ten Bosch.
- 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_69c0084788848190bcf71f6bc5d71597 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c02b17417081908779741b9bfbb720 |
completed | March 22, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0983ded9c8190b37372627c1e3a50 |
completed | March 23, 2026, 1:32 a.m. |
| NEDg | Description generation | batch_69c0990bf38081908c09c5dfe660c35b |
completed | March 23, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c099bd26fc8190a58bf483a6d4cbca |
completed | March 23, 2026, 1:39 a.m. |
Created at: March 22, 2026, 3:52 p.m.