Triple
T7480592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiba |
E176745
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Gose |
E124707
|
NE FINISHED |
How this triple was built (2 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: [Kashiba, neighboringMunicipality, Gose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gose Context triple: [Kashiba, neighboringMunicipality, Gose]
-
A.
Gose
chosen
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.
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.
-
C.
Böri
Böri was a lesser-known member of the Mongol imperial family, recognized primarily as a sibling of the Great Khan Möngke.
-
D.
Somero
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
-
E.
Golo
Golo is a masculine given name most notably borne by the German historian and essayist Golo Mann.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83493f0988190b8c569d34bbe2817 |
completed | March 28, 2026, 8:05 p.m. |
Created at: March 27, 2026, 3:42 p.m.