Triple
T20682488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Solsidan station |
E508328
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Solsidan |
—
|
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: Solsidan | Statement: [Solsidan station, locatedIn, Solsidan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Solsidan Context triple: [Solsidan station, locatedIn, Solsidan]
-
A.
Solsidan
chosen
Solsidan is a residential area in Saltsjöbaden, Sweden, known for its affluent seaside villas and as the setting of a popular Swedish TV comedy series of the same name.
-
B.
Solari
Solari is an Italian surname associated with several notable figures, including architects, artists, and athletes.
-
C.
Xanthe Terra
Xanthe Terra is a heavily cratered, ancient highland region on Mars characterized by complex valley networks and outflow channels that suggest a history of significant water activity.
-
D.
Güneşte
Güneşte is a notable literary work by Turkish poet and writer Melih Cevdet Anday, reflecting his modernist and humanist themes.
-
E.
Siaro
Siaro is a location in Sweden known as the place where renowned Swedish tenor Jussi Björling died.
- 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_69e0b4c1ed408190b72dd26b1e33f8a1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6bea9771881908a077d01f53f6d52 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 11:45 a.m.