Triple
T2317456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Goslar |
E51097
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object |
Gose
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
|
E256504
|
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: Gose | Statement: [Goslar, locatedOnRiver, Gose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gose Context triple: [Goslar, locatedOnRiver, Gose]
-
A.
Gose
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
-
B.
Somero
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
-
C.
Golo
Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Sulmo
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
- 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: Gose Triple: [Goslar, locatedOnRiver, Gose]
Generated description
Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gose Target entity description: Gose is a small river in Lower Saxony, Germany, historically associated with the town of Goslar and the traditional sour wheat beer style that bears its name.
-
A.
Gose
Gose is a small city in Japan’s Nara Prefecture known for its historic temples, traditional townscapes, and proximity to the Kongo and Katsuragi mountain ranges.
-
B.
Somero
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
-
C.
Golo
Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
-
D.
Gorely
Gorely is an active stratovolcano complex on Russia’s Kamchatka Peninsula, known for its multiple craters, frequent eruptions, and striking acidic crater lakes.
-
E.
Sulmo
Sulmo is an ancient town in central Italy, historically known as the birthplace of the Roman poet Ovid.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae8964902081909070dd03ccb7cf1f |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ab5bf78819085120418a26cbe28 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b2a89788190975ab66f432f834f |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:49 p.m.