Triple
T1312143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruhr Pocket |
E28014
|
entity |
| Predicate | significantPlace |
P1098
|
FINISHED |
| Object |
Menden
Menden is a town in North Rhine-Westphalia, Germany, known for its location in the Sauerland region and its involvement in World War II events such as the Ruhr Pocket.
|
E149798
|
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: Menden | Statement: [Ruhr Pocket, significantPlace, Menden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Menden Context triple: [Ruhr Pocket, significantPlace, Menden]
-
A.
Holly Springs
Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
-
B.
Trinityville
Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
-
C.
Kenly
Kenly is a small town in North Carolina known for its rural character and location along major transportation routes.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Johnson City
Johnson City is a mid-sized city in northeastern Tennessee known as part of the Tri-Cities region and a hub for education, healthcare, and outdoor recreation.
- 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: Menden Triple: [Ruhr Pocket, significantPlace, Menden]
Generated description
Menden is a town in North Rhine-Westphalia, Germany, known for its location in the Sauerland region and its involvement in World War II events such as the Ruhr Pocket.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Menden Target entity description: Menden is a town in North Rhine-Westphalia, Germany, known for its location in the Sauerland region and its involvement in World War II events such as the Ruhr Pocket.
-
A.
Holly Springs
Holly Springs is a suburban town in North Carolina known for its rapid growth, family-friendly communities, and proximity to the Research Triangle’s technology and research hubs.
-
B.
Trinityville
Trinityville is a rural community located in the parish of St. Thomas in eastern Jamaica.
-
C.
Kenly
Kenly is a small town in North Carolina known for its rural character and location along major transportation routes.
-
D.
Kanesville
Kanesville was the mid-19th-century Mormon settlement that later became the city of Council Bluffs, Iowa.
-
E.
Johnson City
Johnson City is a mid-sized city in northeastern Tennessee known as part of the Tri-Cities region and a hub for education, healthcare, and outdoor recreation.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1572b1c8190ab978198c2d655c8 |
completed | March 1, 2026, 10:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbaeeece08190a805a2f037e709ce |
completed | March 7, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69acbb74a0e48190b2018b16363afea1 |
completed | March 7, 2026, 11:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69acbbcd8c1c8190b58680d7a1ecd982 |
completed | March 7, 2026, 11:59 p.m. |
Created at: March 1, 2026, 7:55 p.m.