Triple
T19978709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geatas |
E493758
|
entity |
| Predicate | hasNameInOldNorse |
P47785
|
FINISHED |
| Object | Gautar |
—
|
NE NERFINISHED |
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: Gautar | Statement: [Geatas, hasNameInOldNorse, Gautar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gautar Context triple: [Geatas, hasNameInOldNorse, Gautar]
-
A.
Gautar
chosen
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
B.
Gardar
Gardar was the principal ecclesiastical and administrative center of the Norse settlements in medieval Greenland, serving as the seat of the bishopric.
-
C.
Agnar
Agnar is a character from Norse mythology who appears in the Eddic poem Grímnismál, where he plays a role in the tale of Odin’s testing and revelation.
-
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.
Gazdagrét
Gazdagrét is a residential neighborhood in Budapest known for its large housing estates and hillside location in the city’s 11th district.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d11108481908241a2a96a795a7d |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:27 p.m.