Triple
T19725502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horten |
E473715
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object | Borre burial mounds |
—
|
NE NERFINISHED |
How this triple was built (3 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: Borre burial mounds | Statement: [Horten, hasArchaeologicalSite, Borre burial mounds]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borre burial mounds Context triple: [Horten, hasArchaeologicalSite, Borre burial mounds]
-
A.
Gamla Uppsala burial mounds
The Gamla Uppsala burial mounds are a group of large, ancient royal grave mounds near Uppsala in Sweden, traditionally associated with early Scandinavian kings and Norse pagan worship.
-
B.
Anundshög burial mound
Anundshög burial mound is Sweden’s largest ancient burial mound and an important archaeological and historical site near Västerås, associated with Viking Age and earlier Nordic rituals.
-
C.
Gokstad Mound
Gokstad Mound is a famous Viking burial mound in Norway known for the discovery of the well-preserved Gokstad ship and rich archaeological finds.
-
D.
Effigy Tumuli
Effigy Tumuli is a large-scale earthwork sculpture in Illinois consisting of massive animal-shaped mounds, created as a monumental example of American land art.
-
E.
Lemo cliff graves
Lemo cliff graves are an ancient Torajan burial site in South Sulawesi, Indonesia, known for its rock-cut tombs and wooden effigies (tau-tau) overlooking the surrounding landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Borre burial mounds Target entity description: Borre burial mounds is a major Viking Age burial site in Norway, known for its large royal mounds and rich archaeological finds.
-
A.
Gamla Uppsala burial mounds
The Gamla Uppsala burial mounds are a group of large, ancient royal grave mounds near Uppsala in Sweden, traditionally associated with early Scandinavian kings and Norse pagan worship.
-
B.
Anundshög burial mound
Anundshög burial mound is Sweden’s largest ancient burial mound and an important archaeological and historical site near Västerås, associated with Viking Age and earlier Nordic rituals.
-
C.
Gokstad Mound
Gokstad Mound is a famous Viking burial mound in Norway known for the discovery of the well-preserved Gokstad ship and rich archaeological finds.
-
D.
Effigy Tumuli
Effigy Tumuli is a large-scale earthwork sculpture in Illinois consisting of massive animal-shaped mounds, created as a monumental example of American land art.
-
E.
Lemo cliff graves
Lemo cliff graves are an ancient Torajan burial site in South Sulawesi, Indonesia, known for its rock-cut tombs and wooden effigies (tau-tau) overlooking the surrounding landscape.
- F. None of above. chosen
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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f7bedc81908f784832c0fc10a1 |
completed | April 20, 2026, 3:44 p.m. |
Created at: April 10, 2026, 1:46 p.m.