Triple
T12566996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Province of Westphalia |
E295497
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Jesberg
Jesberg is a small municipality in the German state of Hesse, known for its rural setting and proximity to the Kellerwald-Edersee National Park.
|
E990702
|
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: Jesberg | Statement: [Province of Westphalia, containsSettlement, Jesberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jesberg Context triple: [Province of Westphalia, containsSettlement, Jesberg]
-
A.
Spremberg
Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
-
B.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
C.
Jogne
Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
-
D.
Ölberg
Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
-
E.
Vinjesvingen
Vinjesvingen is a locality in Telemark, Norway, known primarily as the site of the World War II Battle of Vinjesvingen.
- 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: Jesberg Triple: [Province of Westphalia, containsSettlement, Jesberg]
Generated description
Jesberg is a small municipality in the German state of Hesse, known for its rural setting and proximity to the Kellerwald-Edersee National Park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jesberg Target entity description: Jesberg is a small municipality in the German state of Hesse, known for its rural setting and proximity to the Kellerwald-Edersee National Park.
-
A.
Spremberg
Spremberg is a small town in eastern Germany’s Lusatia region, known for its location along the River Spree and its historic town center.
-
B.
Voitsberg
Voitsberg is a small town in southeastern Austria known for its industrial heritage and location within the federal state of Styria.
-
C.
Jogne
Jogne is a river in western Switzerland that flows through the canton of Fribourg before joining the Sarine.
-
D.
Ölberg
Ölberg is the highest and one of the most prominent hills in Germany’s Siebengebirge range, known for its scenic views over the Rhine Valley.
-
E.
Vinjesvingen
Vinjesvingen is a locality in Telemark, Norway, known primarily as the site of the World War II Battle of Vinjesvingen.
- 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_69f655914f908190afbebbec3cb57e73 |
completed | May 2, 2026, 7:50 p.m. |
| NEDg | Description generation | batch_69f657e504c881909b960acc7758b39d |
completed | May 2, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f658a80fd08190b1b8c161ca6e56ec |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 8, 2026, 11:49 p.m.