Triple
T30632710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Labin-nec |
E779752
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | WestronWord |
C25625
|
CONCEPT FINISHED |
How this triple was built (1 step)
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.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: WestronWord Context triple: [Labin-nec, instanceOf, WestronWord]
-
A.
language of Middle-earth
chosen
The language of Middle-earth is a richly constructed set of tongues, scripts, and linguistic histories created by J.R.R. Tolkien to give depth, culture, and realism to the peoples and stories of his fictional world.
-
B.
languages of A Song of Ice and Fire
The languages of A Song of Ice and Fire are the diverse spoken and written tongues of Westeros and Essos—such as the Common Tongue, High Valyrian, Dothraki, and the Old Tongue—that reflect the series’ complex cultures, histories, and power structures.
-
C.
ironborn
Ironborn are a seafaring warrior people from the Iron Islands who follow the harsh "Old Way" of raiding and reaving, valuing strength, salt, and steel above all else.
-
D.
languages of Game of Thrones
Languages of Game of Thrones are the constructed and fictional tongues, such as Dothraki and High Valyrian, developed for the series’ cultures and used in its dialogue and worldbuilding.
-
E.
Gutnish variety
A Gutnish variety is a regional form of the Gutnish language spoken on the island of Gotland and surrounding areas, characterized by distinct phonological, lexical, and grammatical features that differentiate it from standard Swedish and other Scandinavian dialects.
- F. None of above.
Provenance (1 batch)
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_69f224a431548190a44ad9d088dbf91f |
completed | April 29, 2026, 3:32 p.m. |
Created at: April 29, 2026, 8:28 p.m.