Triple
T18193397
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Götaälvbron |
E435598
|
entity |
| Predicate | maintainedBy |
P86
|
FINISHED |
| Object | City of Gothenburg |
—
|
NE NERFINISHED |
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: City of Gothenburg | Statement: [Götaälvbron, maintainedBy, City of Gothenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Gothenburg Context triple: [Götaälvbron, maintainedBy, City of Gothenburg]
-
A.
Gothenburg
chosen
Gothenburg is Sweden’s second-largest city, a major port on the country’s west coast known for its maritime heritage, universities, and vibrant cultural scene.
-
B.
Gothenburg
Gothenburg is a small city in western Nebraska known for its historic Pony Express station and classic Midwestern agricultural community.
-
C.
Karlsborg
Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
-
D.
Mariestad
Mariestad is a small historic town in southern Sweden, located on the shores of Lake Vänern and known for its well-preserved old center and lakeside setting.
-
E.
Karlskrona
Karlskrona is a historic Swedish coastal city and naval base known for its well-preserved maritime architecture and UNESCO-listed naval port.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4e0d12b688190842375dcc5d5537c |
completed | April 19, 2026, 2:04 p.m. |
Created at: April 10, 2026, 10:31 a.m.