Triple
T1945912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austroasiatic |
E42054
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object | Palaung language |
E216903
|
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: Palaung language | Statement: [Austroasiatic, hasLanguage, Palaung language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Palaung language Context triple: [Austroasiatic, hasLanguage, Palaung language]
-
A.
Palaung language
chosen
The Palaung language is an Austroasiatic language spoken primarily by the Palaung people in parts of Myanmar, China, and Thailand.
-
B.
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.
-
C.
Tonsawang language
Tonsawang language is an Austronesian language spoken by the Tonsawang people in North Sulawesi, Indonesia, and is part of the Minahasan subgroup.
-
D.
Achuar-Shiwiar language
The Achuar-Shiwiar language is a Jivaroan language spoken by the Achuar and Shiwiar Indigenous peoples of the Amazon rainforest in Ecuador and Peru.
-
E.
Apalaí language
The Apalaí language is an indigenous Cariban language spoken by the Apalaí people of the Amazon region in northern Brazil.
- 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_69a8870e08fc8190a319cbf2600db15f |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb300af2481908ae359972843c1ef |
completed | March 7, 2026, 5:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adfbbcc5688190aad081dc8d119e7f |
completed | March 8, 2026, 10:44 p.m. |
Created at: March 4, 2026, 7:36 p.m.