Triple
T20657581
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lubombo Region |
E507666
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Siteki |
—
|
NE NERFINISHED |
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: Siteki | Statement: [Lubombo Region, hasSettlement, Siteki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Siteki Context triple: [Lubombo Region, hasSettlement, Siteki]
-
A.
Siteki
chosen
Siteki is a town in eastern Eswatini that serves as the administrative and commercial center of the Lubombo Region.
-
B.
Seta
Seta is a scenic area in Ōmi (modern Shiga Prefecture), Japan, famed for its picturesque bridge and riverside views that have been celebrated in classical Japanese art and poetry.
-
C.
Teke
Teke is a Bantu language spoken primarily in the Republic of the Congo and neighboring Central African regions by the Teke people.
-
D.
Teke
Teke are a prominent Turkmen tribal group historically known for their influence in Central Asia and their famed Akhal-Teke horses.
-
E.
Seke
Seke is an Oceanic language spoken by communities on Pentecost Island in Vanuatu.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2ee049081909904efe2dc683cd5 |
completed | April 20, 2026, 11:12 p.m. |
Created at: April 16, 2026, 11:43 a.m.