Triple
T12654044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Tano |
E302236
|
entity |
| Predicate | hasSubgroup |
P747
|
FINISHED |
| Object |
Bia languages
The Bia languages are a subgroup of closely related Niger-Congo languages spoken primarily in parts of Ghana and Ivory Coast.
|
E996642
|
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: Bia languages | Statement: [Central Tano, hasSubgroup, Bia languages]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bia languages Context triple: [Central Tano, hasSubgroup, Bia languages]
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
B.
Bipi language
The Bipi language is an Oceanic Austronesian language spoken by the Bipi people of the Admiralty Islands in Papua New Guinea.
-
C.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
-
D.
Tiwa languages
The Tiwa languages are a group of closely related Tanoan languages spoken by Tiwa Pueblo peoples in parts of New Mexico and Texas.
-
E.
Berta–Shinasha languages
Berta–Shinasha languages are a small group of closely related Nilo-Saharan languages spoken primarily in western Ethiopia and neighboring regions of Sudan.
- 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: Bia languages Triple: [Central Tano, hasSubgroup, Bia languages]
Generated description
The Bia languages are a subgroup of closely related Niger-Congo languages spoken primarily in parts of Ghana and Ivory Coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bia languages Target entity description: The Bia languages are a subgroup of closely related Niger-Congo languages spoken primarily in parts of Ghana and Ivory Coast.
-
A.
Bafia language
The Bafia language is a Bantu language spoken primarily by the Bafia people in central Cameroon.
-
B.
Bipi language
The Bipi language is an Oceanic Austronesian language spoken by the Bipi people of the Admiralty Islands in Papua New Guinea.
-
C.
Baniwa language
Baniwa is an Arawakan Indigenous language spoken primarily along the Rio Negro in northwestern Brazil, as well as in parts of Colombia and Venezuela.
-
D.
Tiwa languages
The Tiwa languages are a group of closely related Tanoan languages spoken by Tiwa Pueblo peoples in parts of New Mexico and Texas.
-
E.
Berta–Shinasha languages
Berta–Shinasha languages are a small group of closely related Nilo-Saharan languages spoken primarily in western Ethiopia and neighboring regions of Sudan.
- 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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96160730c81909e1aa3efb51bf159 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6688104d48190939933b93b7e60cc |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66c572f848190a8cad6311d3315a3 |
completed | May 2, 2026, 9:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66cef79148190a052fb9ade3b0d27 |
completed | May 2, 2026, 9:30 p.m. |
Created at: April 9, 2026, 5:18 p.m.