Triple
T7713309
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Keo language |
E174816
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Bahasa Keo |
E174816
|
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: Bahasa Keo | Statement: [Keo language, hasAlternativeName, Bahasa Keo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bahasa Keo Context triple: [Keo language, hasAlternativeName, Bahasa Keo]
-
A.
Keo language
chosen
The Keo language is an Austronesian language spoken by the Keo people on Flores Island in Indonesia.
-
B.
Kioko language
The Kioko language is an Austronesian language of the Muna–Buton subgroup spoken by a small community in southeastern Sulawesi, Indonesia.
-
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.
Tai Lue language
Tai Lue is a Southwestern Tai language spoken primarily by the Tai Lue people in parts of China, Laos, Thailand, Myanmar, and Vietnam, known for its own traditional script and close relation to other Tai languages.
-
E.
Kaado language
The Kaado language is a regional variety within the Songhay language family spoken by communities in parts of West Africa.
- 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_69c6995c463c8190a14458036249d419 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c702c96e388190898165f84d646c0e |
completed | March 27, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8acd3e9f88190adf42ab42c21b722 |
completed | March 29, 2026, 4:38 a.m. |
Created at: March 27, 2026, 4:04 p.m.