Triple
T5429194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northeast Coast Bantu languages |
E121440
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Ngulu language
The Ngulu language is a Bantu language spoken in parts of East Africa, particularly in Tanzania, and is part of the larger Northeast Coast Bantu subgroup.
|
E518652
|
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: Ngulu language | Statement: [Northeast Coast Bantu languages, hasMember, Ngulu language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ngulu language Context triple: [Northeast Coast Bantu languages, hasMember, Ngulu language]
-
A.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Yulu language
The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
-
D.
Waigali language
The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
-
E.
Gule language
The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
- 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: Ngulu language Triple: [Northeast Coast Bantu languages, hasMember, Ngulu language]
Generated description
The Ngulu language is a Bantu language spoken in parts of East Africa, particularly in Tanzania, and is part of the larger Northeast Coast Bantu subgroup.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ngulu language Target entity description: The Ngulu language is a Bantu language spoken in parts of East Africa, particularly in Tanzania, and is part of the larger Northeast Coast Bantu subgroup.
-
A.
Kalanguya language
The Kalanguya language is an Austronesian language spoken by the Kalanguya people in the northern Luzon highlands of the Philippines.
-
B.
Murle language
The Murle language is an Eastern Sudanic language spoken primarily by the Murle people of South Sudan.
-
C.
Yulu language
The Yulu language is a Central Sudanic language spoken by the Yulu people in parts of South Sudan and the Central African Republic.
-
D.
Waigali language
The Waigali language is a Nuristani language spoken by the Waigal people in eastern Afghanistan.
-
E.
Gule language
The Gule language is an endangered Nilo-Saharan language formerly spoken by a small ethnic group in the border region of Sudan and Ethiopia.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd883d1bfc8190859bb05cfab065c8 |
completed | March 20, 2026, 5:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf3ac2e1e88190a624ba277eca3d03 |
completed | March 22, 2026, 12:41 a.m. |
| NEDg | Description generation | batch_69bf3b592a08819090e2873bcf4e797f |
completed | March 22, 2026, 12:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf3c0b9e5481909101eccbd55f24b2 |
completed | March 22, 2026, 12:47 a.m. |
Created at: March 20, 2026, 2:06 p.m.