Triple
T20505127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deor |
E503407
|
entity |
| Predicate | mentionsLegend |
P140340
|
FINISHED |
| Object | Geat |
—
|
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: Geat | Statement: [Deor, mentionsLegend, Geat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geat Context triple: [Deor, mentionsLegend, Geat]
-
A.
Geat
chosen
A Geat was a member of an ancient North Germanic people from southern Sweden, known from early medieval history and Old English literature such as Beowulf.
-
B.
Jochid
The Jochid were the lineage and followers of Jochi, eldest son of Genghis Khan, forming the ruling house of the Golden Horde and other western Mongol domains.
-
C.
Keiyo
Keiyo is a Southern Nilotic language spoken primarily by the Keiyo people of Kenya’s Rift Valley region.
-
D.
Nihondaira
Nihondaira is a scenic plateau in Shizuoka Prefecture, Japan, famed for its panoramic views of Mount Fuji, Suruga Bay, and the surrounding tea fields.
-
E.
Geatland
Geatland is the homeland of the hero Beowulf, depicted in the Old English epic as the territory of the Geats in what is now southern Sweden.
- 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_69e0b4b1e52c8190894281cf7e3283ab |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69dc539908190a18918fd9b7a829d |
completed | April 20, 2026, 9:42 p.m. |
Created at: April 16, 2026, 11:35 a.m.