Triple
T15930566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norse colonies in Greenland |
E386312
|
entity |
| Predicate | hasArchaeologicalSite |
P1098
|
FINISHED |
| Object | Gardar |
E81700
|
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: Gardar | Statement: [Norse colonies in Greenland, hasArchaeologicalSite, Gardar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gardar Context triple: [Norse colonies in Greenland, hasArchaeologicalSite, Gardar]
-
A.
Gardar
chosen
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
-
B.
Gautar
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
C.
Gullfaxi
Gullfaxi is a legendary horse from Norse mythology, famed for its extraordinary speed and strength and best known as the steed of the giant Hrungnir.
-
D.
Geirröd
Geirröd is a fearsome giant from Norse mythology, best known for luring the god Thor into a deadly trap in his hall in Jotunheim.
-
E.
Grandagarður
Grandagarður is a street in the Vesturbær district of Reykjavík, Iceland, known for its proximity to the harbor and mixed residential and commercial character.
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156a45d088190b365f05161e7d409 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf14ab088190b1d2f1f6b18bf85d |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:52 a.m.