Triple
T15969059
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Porta Westfalica |
E387271
|
entity |
| Predicate | formedByMergerOf |
P77
|
FINISHED |
| Object |
Eisbergen
Eisbergen is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
|
E1186272
|
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: Eisbergen | Statement: [Porta Westfalica, formedByMergerOf, Eisbergen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eisbergen Context triple: [Porta Westfalica, formedByMergerOf, Eisbergen]
-
A.
Isberget
Isberget is a supporters' group of Norwegian football club Tromsø IL, known for passionately backing the team at matches.
-
B.
Tystigbreen
Tystigbreen is a glacier in western Norway known for its high-altitude ice fields and proximity to the Stryn and Skjåk regions.
-
C.
Eistau
Eistau is a novel by Ilija Trojanow that explores themes of climate change, environmental destruction, and human responsibility through the story of a glaciologist witnessing the disappearance of the ice he studies.
-
D.
Eiskögele
Eiskögele is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
E.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
- 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: Eisbergen Triple: [Porta Westfalica, formedByMergerOf, Eisbergen]
Generated description
Eisbergen is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Eisbergen Target entity description: Eisbergen is a former municipality in North Rhine-Westphalia, Germany, that now forms part of the town of Porta Westfalica.
-
A.
Isberget
Isberget is a supporters' group of Norwegian football club Tromsø IL, known for passionately backing the team at matches.
-
B.
Tystigbreen
Tystigbreen is a glacier in western Norway known for its high-altitude ice fields and proximity to the Stryn and Skjåk regions.
-
C.
Eistau
Eistau is a novel by Ilija Trojanow that explores themes of climate change, environmental destruction, and human responsibility through the story of a glaciologist witnessing the disappearance of the ice he studies.
-
D.
Eiskögele
Eiskögele is a mountain peak in the Austrian Alps, located within the Glockner Group of the High Tauern range.
-
E.
Kagermeer
Kagermeer is a lake in the Kagerplassen lake district in South Holland, Netherlands, popular for boating and watersports.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1572847f08190830e30125e829766 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe88fa308190942d37cf67458396 |
completed | May 9, 2026, 11:08 p.m. |
| NEDg | Description generation | batch_69ffbf3f40288190a59646124e06a864 |
completed | May 9, 2026, 11:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffbfddd0348190baab794f613c71bf |
completed | May 9, 2026, 11:14 p.m. |
Created at: April 10, 2026, 4:54 a.m.