Triple
T761564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eswatini |
E16080
|
entity |
| Predicate | currency |
P245
|
FINISHED |
| Object |
Lilangeni
The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
|
E103007
|
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: Lilangeni | Statement: [Eswatini, currency, Lilangeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lilangeni Context triple: [Eswatini, currency, Lilangeni]
-
A.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Siyani
Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
-
D.
Thame
Thame is a historic market town in Oxfordshire, England, known for its traditional architecture and vibrant local community.
-
E.
Rolihlahla
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
- 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: Lilangeni Triple: [Eswatini, currency, Lilangeni]
Generated description
The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lilangeni Target entity description: The lilangeni is the official monetary unit of Eswatini, subdivided into 100 cents and commonly used alongside the South African rand.
-
A.
Makhuwa
Makhuwa is a major Bantu language spoken primarily in northern Mozambique by the Makhuwa people.
-
B.
Kasulu
Kasulu is a town in western Tanzania that serves as one of the main urban and commercial centers of the Kigoma Region.
-
C.
Siyani
Siyani is a given name most notably associated with Siyani Chambers, an American basketball player known for his collegiate career at Harvard University.
-
D.
Thame
Thame is a historic market town in Oxfordshire, England, known for its traditional architecture and vibrant local community.
-
E.
Rolihlahla
Rolihlahla is the Xhosa birth name of Nelson Mandela, meaning “troublemaker” and reflecting his cultural origins.
- 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_69a493684ee48190bd43b7c78da4aec8 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a682e7d081909c9cd7839a49fb0b |
completed | March 1, 2026, 8:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7b83948b48190af0349dd73ec3951 |
completed | March 4, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_69a7b99c19fc819090e0f9a042a8c12c |
completed | March 4, 2026, 4:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a7ba44b79c8190b0ce8a430fe928e5 |
completed | March 4, 2026, 4:51 a.m. |
Created at: March 1, 2026, 7:37 p.m.