Triple
T4630971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schouwen-Duiveland |
E101414
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object |
Dreischor
Dreischor is a historic village in the Dutch province of Zeeland, known for its well-preserved ring-shaped layout and traditional architecture.
|
E457679
|
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: Dreischor | Statement: [Schouwen-Duiveland, hasSettlement, Dreischor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dreischor Context triple: [Schouwen-Duiveland, hasSettlement, Dreischor]
-
A.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
B.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
C.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
D.
Seckbach
Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
-
E.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
- 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: Dreischor Triple: [Schouwen-Duiveland, hasSettlement, Dreischor]
Generated description
Dreischor is a historic village in the Dutch province of Zeeland, known for its well-preserved ring-shaped layout and traditional architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dreischor Target entity description: Dreischor is a historic village in the Dutch province of Zeeland, known for its well-preserved ring-shaped layout and traditional architecture.
-
A.
Löhr
Löhr is a German-language surname borne by various notable individuals, including figures in military, arts, and public life.
-
B.
Schwerteck
Schwerteck is a mountain peak in the Glockner Group of the Austrian Alps.
-
C.
Bramsche
Bramsche is a town in Lower Saxony, Germany, known for its location near Osnabrück and its historical textile industry.
-
D.
Seckbach
Seckbach is a district in the east of Frankfurt am Main, Germany, known for its residential character and proximity to green spaces like the Lohrberg.
-
E.
Saalhof
Saalhof is a historic medieval building complex in Frankfurt am Main that forms part of the city’s museum landscape and reflects its architectural and urban history.
- 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_69bd43d2f1c081908cd4b7ec48ecc73d |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a32d6408190962e60b9bce7560d |
completed | March 20, 2026, 2:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfab992148190a1b1dfa33b971d11 |
completed | March 21, 2026, 1:56 a.m. |
| NEDg | Description generation | batch_69bdfb56021081909b23d22770bf3c88 |
completed | March 21, 2026, 1:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bdfbf15f1481908b76bcdd37ebd4ce |
completed | March 21, 2026, 2:01 a.m. |
Created at: March 20, 2026, 1:13 p.m.