Triple
T9778860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karluk languages |
E237314
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Äynu language |
E458718
|
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: Äynu language | Statement: [Karluk languages, hasMember, Äynu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Äynu language Context triple: [Karluk languages, hasMember, Äynu language]
-
A.
Äynu language
chosen
The Äynu language is a rare mixed Turkic–Iranian language spoken primarily by the Äynu ethnic minority in Xinjiang, China.
-
B.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
-
C.
Ahanta language
The Ahanta language is a Niger-Congo language spoken by the Ahanta people along the coastal region of southwestern Ghana.
-
D.
Anyin language
The Anyin language is a Niger-Congo language spoken primarily in Côte d'Ivoire and Ghana by the Anyin people, closely related to Baoulé and other Central Tano languages.
-
E.
Anuak language
The Anuak language is a Nilotic language spoken primarily by the Anuak people of western Ethiopia and eastern South Sudan.
- 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_69ca84d975a08190aab25b02a89bdab3 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda13663f081909b95563038eb6485 |
completed | April 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1bd22a194819089ae888e932566f1 |
completed | April 5, 2026, 1:38 a.m. |
Created at: March 30, 2026, 8:27 p.m.