Triple
T2757595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karen people |
E61141
|
entity |
| Predicate | language |
P15
|
FINISHED |
| Object | Pwo Karen language |
E175559
|
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: Pwo Karen language | Statement: [Karen people, language, Pwo Karen language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pwo Karen language Context triple: [Karen people, language, Pwo Karen language]
-
A.
Pwo Karen language
chosen
Pwo Karen language is a Sino-Tibetan language spoken primarily by the Pwo subgroup of the Karen people in Myanmar and neighboring regions.
-
B.
Sgaw Karen language
Sgaw Karen language is a Sino-Tibetan language spoken primarily by the Sgaw Karen people of Myanmar and Thailand, using its own script and serving as a key marker of Karen cultural identity.
-
C.
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.
-
D.
Kwaio language
The Kwaio language is an Austronesian language spoken by the Kwaio people on Malaita in the Solomon Islands.
-
E.
Wapishana language
The Wapishana language is an indigenous Arawakan language spoken primarily by the Wapishana people in parts of Brazil and Guyana.
- 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_69ab4b7a85bc819094a349b84beb1f2c |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb8ba4688190b401b6eb5b734ac6 |
completed | March 7, 2026, 8:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbdf650c8190baa020143b51f94b |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:57 p.m.