Triple
T10764273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanum World Heritage Site |
E253911
|
entity |
| Predicate | hasComponentSite |
P5003
|
FINISHED |
| Object |
Aspeberget
Aspeberget is a notable rock carving site in Sweden’s Tanum World Heritage area, known for its Bronze Age petroglyphs.
|
E884135
|
NE FINISHED |
How this triple was built (4 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: Aspeberget | Statement: [Tanum World Heritage Site, hasComponentSite, Aspeberget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aspeberget Context triple: [Tanum World Heritage Site, hasComponentSite, Aspeberget]
-
A.
Kjerkeberget
Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
-
B.
Skogsvåg
Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
-
C.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
-
D.
Skinnskatteberg
Skinnskatteberg is a small Swedish locality and municipal seat in central Sweden, known for its forested landscape and historical mining industry.
-
E.
Ytterhogdal
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aspeberget Triple: [Tanum World Heritage Site, hasComponentSite, Aspeberget]
Generated description
Aspeberget is a notable rock carving site in Sweden’s Tanum World Heritage area, known for its Bronze Age petroglyphs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aspeberget Target entity description: Aspeberget is a notable rock carving site in Sweden’s Tanum World Heritage area, known for its Bronze Age petroglyphs.
-
A.
Kjerkeberget
Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
-
B.
Skogsvåg
Skogsvåg is a small coastal village in western Norway, located on the island of Sotra in Vestland county.
-
C.
Mariaberget
Mariaberget is a historic, picturesque area on the western side of Södermalm in central Stockholm, known for its well-preserved old buildings and panoramic views over the city and Lake Mälaren.
-
D.
Skinnskatteberg
Skinnskatteberg is a small Swedish locality and municipal seat in central Sweden, known for its forested landscape and historical mining industry.
-
E.
Ytterhogdal
Ytterhogdal is a small locality in Härjedalen, central Sweden, known for its rural setting and traditional Swedish countryside character.
- F. None of above. chosen
Provenance (5 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d731a504948190943f0e27c0d891ed |
completed | April 9, 2026, 4:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de235fe7748190ba004f889da389ff |
completed | April 14, 2026, 11:22 a.m. |
| NEDg | Description generation | batch_69de271ee56c81908d2f690f31c2d2db |
completed | April 14, 2026, 11:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69de2e05fdb08190b880f9158b14118b |
completed | April 14, 2026, 12:07 p.m. |
Created at: April 8, 2026, 9:16 p.m.