Triple
T19978802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gautoi |
E493760
|
entity |
| Predicate | relatedEthnonym |
P4709
|
FINISHED |
| Object | Götar |
—
|
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: Götar | Statement: [Gautoi, relatedEthnonym, Götar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Götar Context triple: [Gautoi, relatedEthnonym, Götar]
-
A.
Gjettum
Gjettum is a residential area in the municipality of Bærum in Viken county, Norway, forming part of the greater Oslo suburban region.
-
B.
Gautar
chosen
Gautar is the Old Norse name for the Geats, a North Germanic people historically inhabiting what is now southern Sweden.
-
C.
Grotli
Grotli is a small mountain village in Innlandet county, Norway, known for its scenic landscapes, skiing opportunities, and proximity to popular hiking areas.
-
D.
Gagata
Gagata is a genus of small Asian river catfishes known for their flattened bodies and adaptation to fast-flowing freshwater habitats.
-
E.
Gaten
Gaten is the first name of Gaten Matarazzo, an American actor best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
- 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.