Triple
T19588450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tà Ôi |
E470164
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Tà Ôi 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: Tà Ôi language | Statement: [Tà Ôi, language, Tà Ôi language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tà Ôi language Context triple: [Tà Ôi, language, Tà Ôi language]
-
A.
Ta Oi language
chosen
The Ta Oi language is an Austroasiatic language spoken by the Ta Oi people in parts of Laos and Vietnam, belonging to the Katuic branch.
-
B.
Muong language
The Muong language is an Austroasiatic language spoken primarily by the Muong people of northern Vietnam, closely related to Vietnamese and written using a Latin-based script.
-
C.
Kaili language
The Kaili language is an Austronesian language spoken primarily in Central Sulawesi, Indonesia, known for its multiple dialects and role as a regional lingua franca.
-
D.
Pa’O language
The Pa’O language is a Tibeto-Burman language spoken primarily by the Pa’O (Taungthu) people of Myanmar, especially in Shan and Kayin States.
-
E.
Lhao Vo language
Lhao Vo is a lesser-known Tibeto-Burman language spoken by an ethnic minority community in parts of Northeast India and nearby regions.
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64052f61c81908bb49927d4246030 |
completed | April 20, 2026, 3:03 p.m. |
Created at: April 10, 2026, 1:43 p.m.