Triple
T4572847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doncaster |
E123073
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Herten
Herten is a town in the Ruhr area of North Rhine-Westphalia, western Germany, historically shaped by coal mining and now known for its transition to renewable energy and green urban development.
|
E454557
|
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: Herten | Statement: [Doncaster, twinTown, Herten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Herten Context triple: [Doncaster, twinTown, Herten]
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
-
C.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
D.
Herning
Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
-
E.
Haderslev
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
- 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: Herten Triple: [Doncaster, twinTown, Herten]
Generated description
Herten is a town in the Ruhr area of North Rhine-Westphalia, western Germany, historically shaped by coal mining and now known for its transition to renewable energy and green urban development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Herten Target entity description: Herten is a town in the Ruhr area of North Rhine-Westphalia, western Germany, historically shaped by coal mining and now known for its transition to renewable energy and green urban development.
-
A.
Hellebæk
Hellebæk is a coastal town in northeastern Zealand, Denmark, known for its scenic setting near Helsingør and its historic industrial and residential architecture.
-
B.
Hillerød
Hillerød is a Danish town on the island of Zealand, known for the historic Frederiksborg Castle and its role as a regional administrative and cultural center.
-
C.
Næstved
Næstved is a historic market town and commercial center in southern Denmark, located on the island of Zealand.
-
D.
Herning
Herning is a Danish city in the Central Jutland region known for its trade fairs, conference facilities, and vibrant cultural and sports events.
-
E.
Haderslev
Haderslev is a historic town in southern Denmark known for its medieval cathedral, old town center, and role as a regional cultural and administrative hub.
- 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_69bd46466c7081909d07f36be2d08804 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd58c711408190a2b096daf57e6eac |
completed | March 20, 2026, 2:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bde08756548190bb8433854c3efe01 |
completed | March 21, 2026, 12:04 a.m. |
| NEDg | Description generation | batch_69bde129ec748190af03e37c8d47ab3c |
completed | March 21, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bde1c01e7081909eb968b5603ee2b0 |
completed | March 21, 2026, 12:09 a.m. |
Created at: March 20, 2026, 1:10 p.m.