Triple
T12566921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Everswinkel
Everswinkel is a small municipality in western Germany known for its rural character and location in the Münsterland region of North Rhine-Westphalia.
|
E997123
|
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: Everswinkel | Statement: [Province of Westphalia, containsSettlement, Everswinkel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Everswinkel Context triple: [Province of Westphalia, containsSettlement, Everswinkel]
-
A.
Evertsen
Evertsen is a Dutch surname historically associated with a prominent family of naval officers in the Dutch Republic.
-
B.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
C.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
D.
Kaatsheuvel
Kaatsheuvel is a Dutch village best known as the home of the Efteling theme park, one of Europe’s largest and oldest amusement parks.
-
E.
Elingaard
Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
- 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: Everswinkel Triple: [Province of Westphalia, containsSettlement, Everswinkel]
Generated description
Everswinkel is a small municipality in western Germany known for its rural character and location in the Münsterland region of North Rhine-Westphalia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Everswinkel Target entity description: Everswinkel is a small municipality in western Germany known for its rural character and location in the Münsterland region of North Rhine-Westphalia.
-
A.
Evertsen
Evertsen is a Dutch surname historically associated with a prominent family of naval officers in the Dutch Republic.
-
B.
Reeshof
Reeshof is a large residential district in the western part of Tilburg in the Netherlands, known for its modern housing developments and green spaces.
-
C.
Eelde
Eelde is a village in the Dutch province of Drenthe, known for its proximity to Groningen Airport Eelde and its historic annual flower parade.
-
D.
Kaatsheuvel
Kaatsheuvel is a Dutch village best known as the home of the Efteling theme park, one of Europe’s largest and oldest amusement parks.
-
E.
Elingaard
Elingaard is a historic estate and former manor located in the municipality of Rygge in southeastern Norway.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d954a325948190994bcfc9d571a3a8 |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6718ef43481909023a82425283f5b |
completed | May 2, 2026, 9:50 p.m. |
| NEDg | Description generation | batch_69f67285019c8190be831d3f72cf121f |
completed | May 2, 2026, 9:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f67323a724819092425cdb3a070b96 |
completed | May 2, 2026, 9:56 p.m. |
Created at: April 8, 2026, 11:49 p.m.