Triple
T3705947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Andamanese languages |
E80892
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Aka-Bojigyab |
E318983
|
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: Aka-Bojigyab | Statement: [Great Andamanese languages, hasMemberLanguage, Aka-Bojigyab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aka-Bojigyab Context triple: [Great Andamanese languages, hasMemberLanguage, Aka-Bojigyab]
-
A.
Aka-Bo
chosen
Aka-Bo is an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
B.
Bashi-Achuki
Bashi-Achuki is a notable literary work by Georgian writer and poet Akaki Tsereteli.
-
C.
Akaki
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
-
D.
Jagei Nuer
Jagei Nuer is a regional dialect of the Nuer language spoken by a subgroup of the Nuer people in South Sudan and neighboring areas.
-
E.
Aku Aku
Aku Aku is a sentient wooden mask who guides and protects Crash Bandicoot throughout the Crash Bandicoot video game series.
- 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_69ad8b1793888190a5f70e4b21dc05a1 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc54ce1788190ac000793cbdaba48 |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4cdfe77a481908880d0a4a5946656 |
completed | March 14, 2026, 2:54 a.m. |
Created at: March 8, 2026, 3:33 p.m.