Triple
T11011709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloppenburg (district) |
E260262
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Löningen
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
|
E899555
|
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: Löningen | Statement: [Cloppenburg (district), hasMunicipality, Löningen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Löningen Context triple: [Cloppenburg (district), hasMunicipality, Löningen]
-
A.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
B.
Kastlösa
Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Lövö
Lövö is an island within Finland’s Pellinge archipelago, known for its coastal landscapes and traditional island community.
-
E.
Torgny
Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
- 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: Löningen Triple: [Cloppenburg (district), hasMunicipality, Löningen]
Generated description
Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Löningen Target entity description: Löningen is a small town and municipality in Lower Saxony, Germany, known for its rural character and location within the Cloppenburg district.
-
A.
Lönnbohm
Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
-
B.
Kastlösa
Kastlösa is a small village on the island of Öland in southeastern Sweden, known for its rural landscape and traditional agricultural surroundings.
-
C.
Strömholm
Strömholm is a Swedish surname most notably associated with Stig Strömholm, a prominent jurist and academic.
-
D.
Lövö
Lövö is an island within Finland’s Pellinge archipelago, known for its coastal landscapes and traditional island community.
-
E.
Torgny
Torgny is a masculine given name of Scandinavian origin, most notably borne by the Swedish author Torgny Lindgren.
- 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_69d6aa9687448190b28d353b1b6a610e |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7978a57a881909b4ceae0ebe21b78 |
completed | April 9, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e374ac78348190a8c0a5a7a736b24b |
completed | April 18, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_69e378df767c819099d0bfdf35eaf5f3 |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37bf526108190b5fc22569fe6be54 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 8, 2026, 9:25 p.m.