Triple
T2998734
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bo (Great Andamanese language) |
E81133
|
entity |
| Predicate | alternativeName |
P39
|
FINISHED |
| Object |
Aka-Bo language
The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
|
E318984
|
NE FINISHED |
How this triple was built (4 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 language | Statement: [Bo (Great Andamanese language), alternativeName, Aka-Bo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aka-Bo language Context triple: [Bo (Great Andamanese language), alternativeName, Aka-Bo language]
-
A.
Akebu language
The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
-
B.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
C.
Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
D.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
E.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Aka-Bo language Triple: [Bo (Great Andamanese language), alternativeName, Aka-Bo language]
Generated description
The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Aka-Bo language Target entity description: The Aka-Bo language was an extinct Great Andamanese language once spoken by the Bo people of the Andaman Islands in India.
-
A.
Akebu language
The Akebu language is a Niger-Congo language spoken primarily by the Akebu people in parts of Togo and Ghana.
-
B.
Avokaya language
The Avokaya language is a Central Sudanic language spoken primarily by the Avokaya people in parts of South Sudan and the Democratic Republic of the Congo.
-
C.
Avikam language
The Avikam language is a Kwa language spoken by the Avikam people of southern Côte d'Ivoire.
-
D.
Kaxabu language
The Kaxabu language is an indigenous Formosan language of Taiwan spoken by the Kaxabu people and considered highly endangered.
-
E.
Akawaio language
The Akawaio language is an indigenous Cariban language spoken by the Akawaio people of Guyana, Venezuela, and Brazil.
- F. None of above. chosen
Provenance (5 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99f766408190a5591efce8346bb9 |
completed | March 8, 2026, 3:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e468db4819094fb7badbd48ce1e |
completed | March 11, 2026, 8:56 a.m. |
| NEDg | Description generation | batch_69b12ec0eeb08190943ca528fdcf2cf2 |
completed | March 11, 2026, 8:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b1d2cf78e88190b548e75cdaca6a66 |
completed | March 11, 2026, 8:38 p.m. |
Created at: March 8, 2026, 2:59 p.m.