Triple
T10912003
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Datooga |
E257722
|
entity |
| Predicate | hasNeighborLanguage |
P16383
|
FINISHED |
| Object | Sukuma |
E617029
|
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: Sukuma | Statement: [Datooga, hasNeighborLanguage, Sukuma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sukuma Context triple: [Datooga, hasNeighborLanguage, Sukuma]
-
A.
Sukuma
chosen
Sukuma is a major Bantu language spoken primarily by the Sukuma people in northern Tanzania.
-
B.
Usutu River
The Usutu River is a major river in southern Africa that flows through South Africa, Eswatini, and Mozambique before emptying into the Indian Ocean.
-
C.
Unzha River
The Unzha River is a significant waterway in central Russia that flows through Kostroma and neighboring regions before joining the Volga River.
-
D.
Ulanga River
The Ulanga River is a fictional East African waterway famously depicted as the treacherous river route navigated in C.S. Forester’s novel and the classic film "The African Queen."
-
E.
Wiruni River
The Wiruni River is a smaller river in Guyana that feeds into the larger Berbice River within the country’s interior river system.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770723df08190bedfdc94d998f969 |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b76fa8348190bb42f1c71eb0e545 |
completed | April 20, 2026, 5:19 a.m. |
Created at: April 8, 2026, 9:22 p.m.