Triple
T16278964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renkum |
E395212
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Doorwerth
Doorwerth is a village in the Dutch province of Gelderland, known for its historic Doorwerth Castle and scenic location along the Rhine.
|
E1203454
|
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: Doorwerth | Statement: [Renkum, containsSettlement, Doorwerth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doorwerth Context triple: [Renkum, containsSettlement, Doorwerth]
-
A.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
-
B.
Nonnenwerth
Nonnenwerth is a small Rhine River island in Germany known for its historic monastery and scenic location near Bad Honnef.
-
C.
Wonfurt
Wonfurt is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
-
D.
Daughtrey
Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
-
E.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
- 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: Doorwerth Triple: [Renkum, containsSettlement, Doorwerth]
Generated description
Doorwerth is a village in the Dutch province of Gelderland, known for its historic Doorwerth Castle and scenic location along the Rhine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doorwerth Target entity description: Doorwerth is a village in the Dutch province of Gelderland, known for its historic Doorwerth Castle and scenic location along the Rhine.
-
A.
Dortch
Dortch is a surname most notably associated with Helen Dortch Longstreet, an American social reformer, suffragist, and the second wife of Confederate General James Longstreet.
-
B.
Nonnenwerth
Nonnenwerth is a small Rhine River island in Germany known for its historic monastery and scenic location near Bad Honnef.
-
C.
Wonfurt
Wonfurt is a small municipality in the Haßberge district of Bavaria, Germany, known for its rural character and location along the Main River.
-
D.
Daughtrey
Daughtrey is a surname most notably associated with Martha Craig Daughtrey, an American judge who served on the U.S. Court of Appeals for the Sixth Circuit.
-
E.
Weinert
Weinert is a German-language surname borne by various notable individuals in fields such as the arts, sciences, and public life.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e24610908c8190921e507dcb4d8250 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c48e5c8190a387a4158362417a |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a0018be4b8c8190b68001465b9af949 |
completed | May 10, 2026, 5:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00198af20c819087cfa7d01b3afdec |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:05 a.m.