Triple
T17999368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lemgo |
E430583
|
entity |
| Predicate | hasSubdivision |
P747
|
FINISHED |
| Object |
Lüerdissen
Lüerdissen is a village and district (Stadtteil) of the town of Lemgo in the Lippe region of North Rhine-Westphalia, Germany.
|
E1300635
|
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: Lüerdissen | Statement: [Lemgo, hasSubdivision, Lüerdissen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lüerdissen Context triple: [Lemgo, hasSubdivision, Lüerdissen]
-
A.
Lüdersen
Lüdersen is a small village in Lower Saxony, Germany, that forms part of the town of Pattensen in the Hanover region.
-
B.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
C.
Langeneß
Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
-
D.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
- 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: Lüerdissen Triple: [Lemgo, hasSubdivision, Lüerdissen]
Generated description
Lüerdissen is a village and district (Stadtteil) of the town of Lemgo in the Lippe region of North Rhine-Westphalia, Germany.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lüerdissen Target entity description: Lüerdissen is a village and district (Stadtteil) of the town of Lemgo in the Lippe region of North Rhine-Westphalia, Germany.
-
A.
Lüdersen
Lüdersen is a small village in Lower Saxony, Germany, that forms part of the town of Pattensen in the Hanover region.
-
B.
Leuenberg
Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
-
C.
Langeneß
Langeneß is a small Hallig island in the Wadden Sea off the coast of Schleswig-Holstein, Germany, known for its low-lying landscape, traditional Frisian culture, and vulnerability to tidal flooding.
-
D.
Lülsfeld
Lülsfeld is a small municipality in the Schweinfurt district of Lower Franconia in northern Bavaria, Germany.
-
E.
Wilsdruff
Wilsdruff is a small town in the Free State of Saxony in eastern Germany, located near Dresden.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e75e908190a6ff6a3ec6069ff5 |
completed | April 19, 2026, 10:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0337b29fe08190a5142e049d401494 |
completed | May 12, 2026, 2:22 p.m. |
| NEDg | Description generation | batch_6a033ca6a2608190a391694153070cc8 |
completed | May 12, 2026, 2:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a033d6bf3f48190ac141febc04608f6 |
completed | May 12, 2026, 2:47 p.m. |
Created at: April 10, 2026, 10:23 a.m.