Triple
T14639270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valyrian languages |
E343681
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | languages of Game of Thrones |
C35169
|
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: languages of Game of Thrones Context triple: [Valyrian languages, instanceOf, languages of Game of Thrones]
-
A.
language of Middle-earth
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.
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.
-
C.
organization in Game of Thrones
An organization in Game of Thrones is a structured group of individuals united by a common purpose, hierarchy, and set of rules or traditions that influence political, military, religious, or social power within the world of Westeros and beyond.
-
D.
Mon language
Mon language is an Austroasiatic language historically spoken by the Mon people of Myanmar and Thailand, notable for its ancient inscriptions and significant influence on the region’s scripts and cultures.
-
E.
Gunwinyguan language
A Gunwinyguan language is a member of a family of Indigenous Australian languages spoken primarily in northern Australia, characterized by complex verb morphology and shared grammatical features.
- F. None of above. chosen
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.