Triple
T19325626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwäbisch Hall (district) |
E483339
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Vellberg
Vellberg is a small historic town in the German state of Baden-Württemberg, known for its well-preserved medieval architecture and picturesque setting.
|
E1370420
|
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: Vellberg | Statement: [Schwäbisch Hall (district), contains, Vellberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vellberg Context triple: [Schwäbisch Hall (district), contains, Vellberg]
-
A.
Vanylven
Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
B.
Vitlycke
Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
-
C.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
D.
Vaihinger
Vaihinger is a German surname most notably associated with the philosopher Hans Vaihinger, known for his work "The Philosophy of 'As If'."
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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: Vellberg Triple: [Schwäbisch Hall (district), contains, Vellberg]
Generated description
Vellberg is a small historic town in the German state of Baden-Württemberg, known for its well-preserved medieval architecture and picturesque setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vellberg Target entity description: Vellberg is a small historic town in the German state of Baden-Württemberg, known for its well-preserved medieval architecture and picturesque setting.
-
A.
Vanylven
Vanylven is a coastal municipality in western Norway known for its fjords, mountains, and rural communities.
-
B.
Vitlycke
Vitlycke is a renowned Bronze Age rock carving site in Tanum, Sweden, noted for its extensive petroglyphs and archaeological significance.
-
C.
Veddesta
Veddesta is an industrial and commercial area in Järfälla Municipality, northwest of central Stockholm, Sweden.
-
D.
Vaihinger
Vaihinger is a German surname most notably associated with the philosopher Hans Vaihinger, known for his work "The Philosophy of 'As If'."
-
E.
Loelva
Loelva is a river flowing through Norway’s scenic Loen valley, known for its glacial origins and striking turquoise waters.
- 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_69d8e8d13e3c81909d91d1d5ec37c095 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e60d8bb28c81909b3a3bbb96b69b4f |
completed | April 20, 2026, 11:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bdc5a2881908b7e71c397be2c2f |
completed | May 15, 2026, 1:13 p.m. |
| NEDg | Description generation | batch_6a071ca19f308190ac9072c5a8d3b665 |
completed | May 15, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071de4a7688190a7114a7eec39fd8f |
completed | May 15, 2026, 1:21 p.m. |
Created at: April 10, 2026, 1:33 p.m.