Triple
T3959349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nama |
E85862
|
entity |
| Predicate | languageFamily |
P1047
|
FINISHED |
| Object | Khoe-Kwadi |
E86793
|
NE FINISHED |
How this triple was built (2 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: Khoe-Kwadi | Statement: [Nama, languageFamily, Khoe-Kwadi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Khoe-Kwadi Context triple: [Nama, languageFamily, Khoe-Kwadi]
-
A.
Khoe-Kwadi
chosen
Khoe-Kwadi is a proposed language family of southern Africa that groups together the Khoe languages (including Khoikhoi) with the extinct Kwadi language of Angola.
-
B.
Mabalako
Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
-
C.
Puthandu
Puthandu is the Tamil New Year festival, celebrated primarily in the Indian state of Tamil Nadu and by Tamil communities worldwide with rituals, feasting, and cultural traditions.
-
D.
Marakwet
Marakwet is a Southern Nilotic language spoken primarily by the Marakwet people of Kenya’s Rift Valley region.
-
E.
Makgatho
Makgatho is a South African lawyer and businessman best known as the son of former president Nelson Mandela.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef95ef8988190ba504cdfc217c4fa |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b533b57ad08190972d385a133c73b8 |
completed | March 14, 2026, 10:08 a.m. |
Created at: March 9, 2026, 3:31 p.m.