Triple
T20581173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skansen Kronan |
E505657
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Haga, 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: Haga, Gothenburg | Statement: [Skansen Kronan, locatedIn, Haga, Gothenburg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haga, Gothenburg Context triple: [Skansen Kronan, locatedIn, Haga, Gothenburg]
-
A.
Halmstad
Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
-
B.
Halmstad
Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
-
C.
Gothenburg
Gothenburg is a small city in western Nebraska known for its historic Pony Express station and classic Midwestern agricultural community.
-
D.
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.
-
E.
Hudiksvall
Hudiksvall is a coastal town in east-central Sweden known for its historic wooden buildings and harbor on the Gulf of Bothnia.
- 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_69e0b4b9669c8190b8e81fc72817d42c |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6a90e98a88190b5cb077973f97e68 |
completed | April 20, 2026, 10:30 p.m. |
Created at: April 16, 2026, 11:40 a.m.