Triple
T3705937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Great Andamanese languages |
E80892
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Aka-Bo |
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-Bo | Statement: [Great Andamanese languages, hasMemberLanguage, Aka-Bo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aka-Bo Context triple: [Great Andamanese languages, hasMemberLanguage, Aka-Bo]
-
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.
Aka-Bea
Aka-Bea is an extinct Great Andamanese language once spoken by the indigenous Aka-Bea people of the Andaman Islands in the Bay of Bengal.
-
C.
Akaki
Akaki is a Georgian masculine given name most notably borne by the prominent 19th-century poet and national figure Akaki Tsereteli.
-
D.
Baka
Baka was an ancient Egyptian prince of the 4th Dynasty, likely a son of Pharaoh Djedefre and possibly associated with an unfinished pyramid at Zawyet El Aryan.
-
E.
Baaka
Baaka is the traditional Aboriginal name for the Darling River, one of the major inland rivers of southeastern Australia.
- 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_69b4db06e8e481908d1f026ce647a6a5 |
completed | March 14, 2026, 3:50 a.m. |
Created at: March 8, 2026, 3:33 p.m.