Triple
T7676573
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hpa-an area |
E173874
|
entity |
| Predicate | hasTraditionalLanguage |
P6149
|
FINISHED |
| Object | Karen languages |
E316920
|
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: Karen languages | Statement: [Hpa-an area, hasTraditionalLanguage, Karen languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Karen languages Context triple: [Hpa-an area, hasTraditionalLanguage, Karen languages]
-
A.
Karen languages
chosen
The Karen languages are a group of Sino-Tibetan languages spoken primarily by the Karen people in Myanmar and Thailand.
-
B.
Kaado language
The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
-
C.
Kam language
Kam is a Tai–Kadai language spoken primarily by the Kam (Dong) people of southern China, known for its rich tonal system and distinct northern and southern dialects.
-
D.
Kaw language
The Kaw language is a nearly extinct Siouan language traditionally spoken by the Kaw (Kansa) people of the central United States.
-
E.
Kiranti languages
The Kiranti languages are a group of closely related Sino-Tibetan languages spoken primarily by the Kirati peoples of eastern Nepal.
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701fbb4788190adf1e2d39be358c1 |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac9af1c081908b0e100390258eaa |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 27, 2026, 4:01 p.m.