Triple
T16356135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manzini |
E397182
|
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: [Manzini, currencyUsed, lilangeni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: lilangeni Context triple: [Manzini, 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.
Ingogo
Ingogo is a small rural settlement in the Newcastle Local Municipality of KwaZulu-Natal, South Africa, known historically for its role in the Anglo-Boer conflicts.
-
E.
Ololulung’a
Ololulung’a is a small urban center in Kenya’s Narok County that serves as a local hub for trade and services in the surrounding rural area.
- 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_69d87f2778dc8190aa95c7572db127e6 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2facf67e0819089a23ce6f5642fbe |
completed | April 18, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a002dbaacd88190b2c90c5be2832307 |
completed | May 10, 2026, 7:03 a.m. |
Created at: April 10, 2026, 5:07 a.m.