Triple
T3676151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Djurgården |
E77996
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skansen |
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 | Statement: [Djurgården, contains, Skansen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skansen Context triple: [Djurgården, contains, Skansen]
-
A.
Skansen
chosen
Skansen is an open-air museum and zoo in Stockholm that showcases traditional Swedish culture, architecture, and wildlife.
-
B.
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.
-
C.
Odense Zoo
Odense Zoo is a popular Danish zoological garden in the city of Odense, known for its diverse animal collections and family-friendly exhibits.
-
D.
Kristineberg
Kristineberg is a residential neighborhood in the western part of central Stockholm, known for its waterfront location and green areas.
-
E.
Tivoli Gardens
Tivoli Gardens is a historic amusement park and pleasure garden in central Copenhagen, renowned for its charming rides, landscaped gardens, and cultural events.
- 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_69ad85e18c1c8190be8aafb227f39f48 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc462ffdc8190896e9f98f648e2f3 |
completed | March 8, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b48856b7d481909d9cc32586d61d44 |
completed | March 13, 2026, 9:57 p.m. |
Created at: March 8, 2026, 3:25 p.m.