Triple
T23089451
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blomberg (Lippe) |
E575703
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Istrup
Istrup is a village and district within the town of Blomberg in the Lippe region of North Rhine-Westphalia, Germany.
|
E1573338
|
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: Istrup | Statement: [Blomberg (Lippe), hasSubdivision, Istrup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Istrup Context triple: [Blomberg (Lippe), hasSubdivision, Istrup]
-
A.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
-
B.
Lokstedt
Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
-
C.
Tirstrup
Tirstrup is a small village in eastern Jutland, Denmark, best known for hosting Aarhus Airport nearby.
-
D.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
E.
Gilleleje
Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
- 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: Istrup Triple: [Blomberg (Lippe), hasSubdivision, Istrup]
Generated description
Istrup is a village and district within the town of Blomberg in the Lippe region of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Istrup Target entity description: Istrup is a village and district within the town of Blomberg in the Lippe region of North Rhine-Westphalia, Germany.
-
A.
Lemvig
Lemvig is a small coastal town in western Denmark known for its harbor, hilly landscape, and location along the Limfjord.
-
B.
Lokstedt
Lokstedt is a district in the Eimsbüttel borough of Hamburg, Germany, known for its residential character and the presence of major broadcasting facilities.
-
C.
Tirstrup
Tirstrup is a small village in eastern Jutland, Denmark, best known for hosting Aarhus Airport nearby.
-
D.
Vildbjerg
Vildbjerg is a Danish town that serves as the administrative center of the former Trehøje Municipality in the Central Denmark Region.
-
E.
Gilleleje
Gilleleje is a coastal town and fishing port in northern Zealand, Denmark, known for its harbor, beaches, and maritime heritage.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da8818481908d768a0462f3f837 |
completed | April 29, 2026, 4:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c307d7f9c8190bc56b876dab55b1d |
completed | May 19, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_6a0c31c84f248190875e6939350b4f2b |
completed | May 19, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c331f08248190a6fa671734fca280 |
completed | May 19, 2026, 9:53 a.m. |
Created at: April 17, 2026, 3:57 p.m.