Triple
T16843096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic (in-universe common tongue) |
E409462
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | in-universe lingua franca |
C985
|
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: in-universe lingua franca Context triple: [Galactic (in-universe common tongue), instanceOf, in-universe lingua franca]
-
A.
lingua franca
chosen
A lingua franca is a language systematically used to make communication possible between people who do not share a native language, often for trade, diplomacy, or other practical purposes.
-
B.
constructed language in fiction
A constructed language in fiction is a deliberately invented linguistic system, complete with its own rules and vocabulary, created to enrich a fictional world’s culture, realism, and depth.
-
C.
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.
-
D.
international auxiliary language project
An international auxiliary language project is an organized effort to design, develop, or promote a constructed language intended to facilitate communication between speakers of different native languages on a global scale.
-
E.
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.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
Created at: April 10, 2026, 5:24 a.m.