Triple
T22671080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltic languages |
E560217
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Latvian language |
—
|
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: Latvian language | Statement: [Baltic languages, hasPart, Latvian language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Latvian language Context triple: [Baltic languages, hasPart, Latvian language]
-
A.
Latvian
chosen
Latvian is a Baltic language spoken primarily in Latvia and one of the official languages of the European Union.
-
B.
Latgalian
Latgalian is an Eastern Baltic language variety closely related to Latvian, traditionally spoken by the Latgalian ethnic group in the Latgale region of eastern Latvia.
-
C.
Latverian
Latverian refers to something or someone from Latveria, the fictional Eastern European nation ruled by Doctor Doom in Marvel Comics.
-
D.
Latuvi
Latuvi is a small rural village in the Sierra Norte region of Oaxaca, Mexico, known for its mountainous landscapes and traditional indigenous culture.
-
E.
Livonian language
The Livonian language is an almost extinct Uralic language historically spoken by the Livonian people along the northern coast of Latvia.
- 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.