Triple
T14243632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Makhuwa languages |
E353073
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Lolo language
The Lolo language is a Bantu language of the Makhuwa group spoken by communities in northern Mozambique.
|
E1088419
|
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: Lolo language | Statement: [Makhuwa languages, hasMember, Lolo language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lolo language Context triple: [Makhuwa languages, hasMember, Lolo language]
-
A.
Loko language
Loko language is a Southern Atlantic language spoken primarily by the Loko people in Sierra Leone.
-
B.
Luvale language
The Luvale language is a Bantu language spoken primarily by the Luvale people of northwestern Zambia and eastern Angola.
-
C.
Lamaholot language
The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
-
D.
Lole language
Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
-
E.
Lotuko language
The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko 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: Lolo language Triple: [Makhuwa languages, hasMember, Lolo language]
Generated description
The Lolo language is a Bantu language of the Makhuwa group spoken by communities in northern Mozambique.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lolo language Target entity description: The Lolo language is a Bantu language of the Makhuwa group spoken by communities in northern Mozambique.
-
A.
Loko language
Loko language is a Southern Atlantic language spoken primarily by the Loko people in Sierra Leone.
-
B.
Luvale language
The Luvale language is a Bantu language spoken primarily by the Luvale people of northwestern Zambia and eastern Angola.
-
C.
Lamaholot language
The Lamaholot language is an Austronesian language spoken primarily in eastern Flores and nearby islands in Indonesia, known for its numerous dialects and complex verbal morphology.
-
D.
Lole language
Lole is an Austronesian language spoken on Rote Island in Indonesia, known for its role in the Rote languages group.
-
E.
Lotuko language
The Lotuko language is an Eastern Nilotic language spoken primarily by the Lotuko 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6245d6a481909ef665748cd4d64c |
completed | April 14, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd28235880819094f5983cce01b0fc |
completed | May 8, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69fd2b2363f881909e04edd850166dd5 |
completed | May 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd2cf1a1248190a97644dadf1717bc |
completed | May 8, 2026, 12:23 a.m. |
Created at: April 10, 2026, 1:08 a.m.