Triple
T10247921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teke languages |
E240265
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Teke-Laali language
The Teke-Laali language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo.
|
E853704
|
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: Teke-Laali language | Statement: [Teke languages, hasMember, Teke-Laali language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teke-Laali language Context triple: [Teke languages, hasMember, Teke-Laali language]
-
A.
Lakalai language
The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Jakaltek language
The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
-
D.
Patelia language
The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
-
E.
Teke-Eboo languages
The Teke-Eboo languages are a subgroup of Bantu languages spoken primarily by Teke-related communities in Central Africa, especially in the Republic of the Congo and surrounding regions.
- 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: Teke-Laali language Triple: [Teke languages, hasMember, Teke-Laali language]
Generated description
The Teke-Laali language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Teke-Laali language Target entity description: The Teke-Laali language is a Bantu language spoken by the Teke people of Central Africa, primarily in the Republic of the Congo.
-
A.
Lakalai language
The Lakalai language is an Austronesian language spoken by the Lakalai people of New Britain in Papua New Guinea.
-
B.
Kaera language
The Kaera language is a Papuan language spoken by a small community on Pantar Island in eastern Indonesia.
-
C.
Jakaltek language
The Jakaltek language is a Mayan language spoken primarily by the Jakaltek (Popti’) people of northwestern Guatemala and parts of southern Mexico.
-
D.
Patelia language
The Patelia language is a regional Indo-Aryan tribal language variety associated with the Bhil communities of western India.
-
E.
Teke-Eboo languages
chosen
The Teke-Eboo languages are a subgroup of Bantu languages spoken primarily by Teke-related communities in Central Africa, especially in the Republic of the Congo and surrounding regions.
- F. None of above.
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_69d381a7e198819090280d5ab885d59e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d22e0d4c8190a6712859924e9d3d |
completed | April 7, 2026, 9:45 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87e33a0088190b1cad6ada8beb345 |
completed | April 10, 2026, 4:36 a.m. |
| NEDg | Description generation | batch_69d886c325c4819089dac35eb26e7961 |
completed | April 10, 2026, 5:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d88dbbe97c8190861e08f3ff39f91b |
completed | April 10, 2026, 5:42 a.m. |
Created at: April 6, 2026, 11:27 a.m.