Triple
T6671946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meppel |
E151750
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Koedijkslanden
Koedijkslanden is a residential district in the Dutch city of Meppel, known for its suburban housing and local amenities.
|
E610367
|
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: Koedijkslanden | Statement: [Meppel, hasDistrict, Koedijkslanden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koedijkslanden Context triple: [Meppel, hasDistrict, Koedijkslanden]
-
A.
Zoutelande
Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
-
B.
Rietlanden
Rietlanden is a waterfront area in Amsterdam’s Eastern Docklands, known for its former industrial port functions and subsequent urban redevelopment.
-
C.
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.
-
D.
Vijfheerenlanden
Vijfheerenlanden is a historical region in the Netherlands known for its polder landscape and long-standing water management traditions along the Lek River.
-
E.
Kennemerland
Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
- 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: Koedijkslanden Triple: [Meppel, hasDistrict, Koedijkslanden]
Generated description
Koedijkslanden is a residential district in the Dutch city of Meppel, known for its suburban housing and local amenities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koedijkslanden Target entity description: Koedijkslanden is a residential district in the Dutch city of Meppel, known for its suburban housing and local amenities.
-
A.
Zoutelande
Zoutelande is a coastal village and popular seaside resort in the Dutch province of Zeeland, known for its beaches and dunes along the North Sea.
-
B.
Rietlanden
Rietlanden is a waterfront area in Amsterdam’s Eastern Docklands, known for its former industrial port functions and subsequent urban redevelopment.
-
C.
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.
-
D.
Vijfheerenlanden
Vijfheerenlanden is a historical region in the Netherlands known for its polder landscape and long-standing water management traditions along the Lek River.
-
E.
Kennemerland
Kennemerland is a coastal historical region in the northwest of the Netherlands, known for its dunes, beaches, and old trading towns.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0ca49f88190b9c8e0f641be0c3f |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef14b47c8190ac181f272025fb0d |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:03 p.m.