Triple
T20072545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lega |
E499773
|
entity |
| Predicate | neighboringEthnicGroup |
P11274
|
FINISHED |
| Object | Luba |
—
|
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: Luba | Statement: [Lega, neighboringEthnicGroup, Luba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Luba Context triple: [Lega, neighboringEthnicGroup, Luba]
-
A.
Luba
Luba is a monumental wooden sculpture by artist Ursula von Rydingsvard, exemplifying her signature hand-carved, architectonic style.
-
B.
Luba
Luba is a coastal town and important port on the southern part of Bioko Island in Equatorial Guinea.
-
C.
Luba
chosen
The Luba are a major Bantu-speaking ethnic group of Central Africa, historically known for the powerful Luba Kingdom centered in what is now the Democratic Republic of the Congo.
-
D.
Lunda
Lunda is a Bantu language spoken primarily by the Lunda people in parts of Zambia, Angola, and the Democratic Republic of the Congo.
-
E.
Nkoya
Nkoya is a Bantu language spoken primarily in western Zambia by the Nkoya people.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e664392c748190a6cc472f80b8c74b |
completed | April 20, 2026, 5:36 p.m. |
Created at: April 11, 2026, 3:40 p.m.