Triple
T13800124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kållerado |
E331616
|
entity |
| Predicate | park |
P5641
|
FINISHED |
| Object | Liseberg |
E65758
|
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: Liseberg | Statement: [Kållerado, park, Liseberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liseberg Context triple: [Kållerado, park, Liseberg]
-
A.
Liseberg amusement park
chosen
Liseberg amusement park is a major theme park in Gothenburg, Sweden, known for its historic charm, diverse rides, and status as one of Scandinavia’s most popular tourist attractions.
-
B.
TusenFryd amusement park
TusenFryd amusement park is one of Norway’s largest theme parks, featuring roller coasters, water rides, and family attractions just outside Oslo.
-
C.
Gröna Lund
Gröna Lund is a historic amusement park in Stockholm, Sweden, known for its roller coasters, live music concerts, and scenic waterfront location.
-
D.
Kongeparken amusement park
Kongeparken amusement park is a family-oriented theme park in southwestern Norway known for its rides, seasonal events, and focus on children’s activities.
-
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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025ce9148190b23370f6a522ff7a |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c20e45c8190968a5d88a2b3fe37 |
completed | May 8, 2026, 2:36 a.m. |
Created at: April 9, 2026, 10:11 p.m.