Triple
T6469518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupi–Guaraní |
E142312
|
entity |
| Predicate | hasLanguage |
P15
|
FINISHED |
| Object |
Tembe
Tembe is an indigenous language of the Tupi–Guaraní family spoken by the Tembé people of northern Brazil.
|
E597721
|
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: Tembe | Statement: [Tupi–Guaraní, hasLanguage, Tembe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tembe Context triple: [Tupi–Guaraní, hasLanguage, Tembe]
-
A.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
-
B.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
-
C.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
D.
Kyalami
Kyalami is a well-known suburb in the Midrand area of Johannesburg, South Africa, famous for its motor racing circuit and upmarket residential estates.
-
E.
Sodwana Bay
Sodwana Bay is a renowned coastal destination in South Africa famous for its rich marine biodiversity, coral reefs, and world-class scuba diving and snorkeling opportunities.
- 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: Tembe Triple: [Tupi–Guaraní, hasLanguage, Tembe]
Generated description
Tembe is an indigenous language of the Tupi–Guaraní family spoken by the Tembé people of northern Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tembe Target entity description: Tembe is an indigenous language of the Tupi–Guaraní family spoken by the Tembé people of northern Brazil.
-
A.
Sabie
Sabie is a small forestry and tourism town in northeastern South Africa, known as a gateway to waterfalls and scenic routes near the Drakensberg escarpment.
-
B.
Thohoyandou
Thohoyandou is a town in South Africa’s Limpopo province that serves as an administrative, commercial, and educational hub for the surrounding region.
-
C.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
D.
Kyalami
Kyalami is a well-known suburb in the Midrand area of Johannesburg, South Africa, famous for its motor racing circuit and upmarket residential estates.
-
E.
Sodwana Bay
Sodwana Bay is a renowned coastal destination in South Africa famous for its rich marine biodiversity, coral reefs, and world-class scuba diving and snorkeling opportunities.
- 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_69c008d3bf4c8190bcf798c5ba9d6fb3 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06a16272c81909313455002cd884d |
completed | March 22, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c65fd1db288190b00ba6d7f3aae925 |
completed | March 27, 2026, 10:45 a.m. |
| NEDg | Description generation | batch_69c660ff35bc8190ba11573cd409b46a |
completed | March 27, 2026, 10:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6615b639c8190af0073368e55ab8d |
completed | March 27, 2026, 10:52 a.m. |
Created at: March 22, 2026, 4:50 p.m.