Triple
T8848441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schorndorf |
E210568
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Weiler
Weiler is a village and district of the town of Schorndorf in the German state of Baden-Württemberg.
|
E762100
|
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: Weiler | Statement: [Schorndorf, hasSubdivision, Weiler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Weiler Context triple: [Schorndorf, hasSubdivision, Weiler]
-
A.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
B.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
C.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
D.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
-
E.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
- 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: Weiler Triple: [Schorndorf, hasSubdivision, Weiler]
Generated description
Weiler is a village and district of the town of Schorndorf in the German state of Baden-Württemberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Weiler Target entity description: Weiler is a village and district of the town of Schorndorf in the German state of Baden-Württemberg.
-
A.
Brackenberg
Brackenberg is an early recorded historical name for the Brocken, the highest peak in Germany’s Harz Mountains.
-
B.
Weilerswist
Weilerswist is a municipality in the Rhein-Erft district of North Rhine-Westphalia, Germany, known for its rural character and proximity to the cities of Cologne and Bonn.
-
C.
Trichardt
Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
-
D.
Dallenwil
Dallenwil is a Swiss municipality known for its alpine setting and outdoor recreation opportunities in the canton of Nidwalden.
-
E.
Röthlein
Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60aa6db0819097c3257499200afc |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa07ad12c81908de0502706ad4019 |
completed | April 3, 2026, 11:11 a.m. |
| NEDg | Description generation | batch_69cfa1714b4081909035c9b15c82c1be |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:49 p.m.