Triple
T3648559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finno-Ugric languages |
E77361
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Seto language |
E367593
|
NE FINISHED |
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: Seto language | Statement: [Finno-Ugric languages, hasMember, Seto language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seto language Context triple: [Finno-Ugric languages, hasMember, Seto language]
-
A.
Seto language
chosen
The Seto language is a traditional Finnic language variety spoken by the Seto people in southeastern Estonia and adjacent parts of Russia, known for its distinctive phonology, vocabulary, and rich folk song tradition.
-
B.
Semai language
The Semai language is an Austroasiatic language spoken by the Semai people, an indigenous Orang Asli group in Peninsular Malaysia.
-
C.
Naoero language
The Naoero language is an Austronesian language spoken by the indigenous population of the Pacific island nation of Nauru.
-
D.
Seinlanguage
Seinlanguage is a bestselling 1993 book by comedian Jerry Seinfeld that compiles his observational stand-up routines into written form.
-
E.
Sehwi language
The Sehwi language is a Niger-Congo language spoken primarily by the Sehwi people of western Ghana.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3c85348190b1d16179294f7f09 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.