Triple
T13423634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djurgården ferry |
E313420
|
entity |
| Predicate | hasStopNear |
P35768
|
FINISHED |
| Object | Skansen main entrance |
E80003
|
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: Skansen main entrance | Statement: [Djurgården ferry, hasStopNear, Skansen main entrance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skansen main entrance Context triple: [Djurgården ferry, hasStopNear, Skansen main entrance]
-
A.
Skansen
chosen
Skansen is an open-air museum and zoo in Stockholm that showcases traditional Swedish culture, architecture, and wildlife.
-
B.
Stockholm Stadsgården
Stockholm Stadsgården is a central waterfront quay and ferry terminal area in Stockholm, Sweden, serving cruise ships, ferries, and other passenger traffic.
-
C.
Kungsparken
Kungsparken is a historic and centrally located public park in Malmö, Sweden, known for its lush greenery, canals, and 19th-century landscape design.
-
D.
Kronobergsparken
Kronobergsparken is a large, hilly public park in the Kungsholmen district of central Stockholm, known for its green spaces, playgrounds, and views over the city.
-
E.
Kungsträdgården
Kungsträdgården is a Stockholm metro station renowned for its striking art-filled, cave-like design and status as one of the system’s most visually distinctive stops.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaecf13748190ae40c7b95164f914 |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7308673488190a64f4b205899605b |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.