Triple
T8112114
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Region Midtjylland |
E189379
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Silkeborg
Silkeborg is a Danish town in central Jutland known for its surrounding lake district, forests, and outdoor recreation.
|
E748166
|
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: Silkeborg | Statement: [Region Midtjylland, containsCity, Silkeborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Silkeborg Context triple: [Region Midtjylland, containsCity, Silkeborg]
-
A.
Holstebro
Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
-
B.
Sønderborg
Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
-
C.
Holbæk
Holbæk is a coastal town and municipality in northwestern Zealand, Denmark, known for its harbor on Holbæk Fjord and role as a regional commercial and cultural center.
-
D.
Skjern
Skjern is a town in western Jutland, Denmark, known for its location near the Skjern River and its surrounding agricultural landscape.
-
E.
Vordingborg
Vordingborg is a historic coastal town in southern Denmark known for the ruins of Vordingborg Castle and its prominent Goose Tower.
- 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: Silkeborg Triple: [Region Midtjylland, containsCity, Silkeborg]
Generated description
Silkeborg is a Danish town in central Jutland known for its surrounding lake district, forests, and outdoor recreation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Silkeborg Target entity description: Silkeborg is a Danish town in central Jutland known for its surrounding lake district, forests, and outdoor recreation.
-
A.
Holstebro
Holstebro is a town in western Jutland, Denmark, known as a regional center that hosts significant Danish Army military facilities.
-
B.
Sønderborg
Sønderborg is a coastal town in southern Denmark known for its historic castle, waterfront setting on the island of Als, and role as a regional cultural and educational center.
-
C.
Holbæk
Holbæk is a coastal town and municipality in northwestern Zealand, Denmark, known for its harbor on Holbæk Fjord and role as a regional commercial and cultural center.
-
D.
Skjern
Skjern is a town in western Jutland, Denmark, known for its location near the Skjern River and its surrounding agricultural landscape.
-
E.
Vordingborg
Vordingborg is a historic coastal town in southern Denmark known for the ruins of Vordingborg Castle and its prominent Goose Tower.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb432bcb648190b5ddbcc2a3dbc9b1 |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cecc0d1e148190a6c5043e681ee136 |
completed | April 2, 2026, 8:05 p.m. |
| NEDg | Description generation | batch_69cece14193081909e7b36f5b5b7da40 |
completed | April 2, 2026, 8:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cecee1db28819095f704b96b8c6d2a |
completed | April 2, 2026, 8:17 p.m. |
Created at: March 30, 2026, 5:32 p.m.