Triple
T5335364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sabaki languages |
E123812
|
entity |
| Predicate | includeLanguage |
P2177
|
FINISHED |
| Object |
Ngare language
The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
|
E512924
|
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: Ngare language | Statement: [Sabaki languages, includeLanguage, Ngare language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngare language Context triple: [Sabaki languages, includeLanguage, Ngare language]
-
A.
Nafe (Nguna) language
The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
-
B.
Karanga language
The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
-
C.
Kerewe language
The Kerewe language is a Bantu language spoken primarily by the Kerewe people on Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Benga language
The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
-
E.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South 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: Ngare language Triple: [Sabaki languages, includeLanguage, Ngare language]
Generated description
The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngare language Target entity description: The Ngare language is a lesser-known Bantu language belonging to the Sabaki subgroup spoken along the East African coast.
-
A.
Nafe (Nguna) language
The Nafe (Nguna) language is an Oceanic Austronesian language spoken on Nguna Island and nearby areas in central Vanuatu.
-
B.
Karanga language
The Karanga language is a member of the Maban branch of the Nilo-Saharan language family, spoken by communities in the central African region.
-
C.
Kerewe language
The Kerewe language is a Bantu language spoken primarily by the Kerewe people on Ukerewe Island in Lake Victoria, Tanzania.
-
D.
Benga language
The Benga language is a Bantu language of the Niger-Congo family traditionally spoken by the Benga people in coastal areas of Equatorial Guinea and nearby islands.
-
E.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South 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_69bd464b07f8819095aa76577c9829e4 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd85af799081909ee60bfbb65149ee |
completed | March 20, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18be4bb88190a2b83e51716e677e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf194c53a48190b0895bbe9aa2f6f1 |
completed | March 21, 2026, 10:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf1a198418819089b25102733f9191 |
completed | March 21, 2026, 10:22 p.m. |
Created at: March 20, 2026, 2 p.m.