Triple
T9096709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kwaluseni |
E218041
|
entity |
| Predicate | currencyUsed |
P188
|
FINISHED |
| Object | lilangeni |
E103007
|
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: lilangeni | Statement: [Kwaluseni, currencyUsed, lilangeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lilangeni Context triple: [Kwaluseni, currencyUsed, lilangeni]
-
A.
Lilangeni
chosen
The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
-
B.
Rolihlahla
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
-
C.
Laiyolo
Laiyolo is an Austronesian language spoken by a small community in South Sulawesi, Indonesia.
-
D.
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.
-
E.
Bakalanga
Bakalanga are a Bantu-speaking ethnic group primarily found in southwestern Zimbabwe and northeastern Botswana, known for their rich cultural traditions and historical links to the Mapungubwe and Great Zimbabwe civilizations.
- 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_69ca83d9844081908e561e367fda6d45 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc96b7d0d48190a3b15f35bef087e3 |
completed | April 1, 2026, 3:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0181a9ae88190ab80d4e80e919f42 |
completed | April 3, 2026, 7:42 p.m. |
Created at: March 30, 2026, 7:15 p.m.