Triple
T22671129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sudovian language |
E560218
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object | Sudovian |
—
|
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: Sudovian | Statement: [Sudovian language, alternativeName, Sudovian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sudovian Context triple: [Sudovian language, alternativeName, Sudovian]
-
A.
Sudovian language
chosen
The Sudovian language was an extinct Western Baltic tongue once spoken by the Sudovians (Yotvingians) in parts of present-day Poland, Lithuania, and Belarus.
-
B.
Sokovian
Sokovian refers to a fictional Eastern European nationality and country within the Marvel Cinematic Universe, prominently associated with characters like Helmut Zemo and Wanda Maximoff.
-
C.
Krakozhian
Krakozhian is a fictional Eastern European country featured in the film "The Terminal."
-
D.
Bolovaxian
Bolovaxian is a fictional alien species from DC Comics, best known as the powerful, large-bodied race of the Green Lantern Corps member Kilowog.
-
E.
Saybrugian
The Saybrugian is the official mascot and symbolic figure representing Saybrook College at Yale University.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1781f946c8190add74a7dac2b1819 |
completed | April 29, 2026, 3:16 a.m. |
Created at: April 17, 2026, 3:10 p.m.