Triple
T7492751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uyui District |
E177045
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Uyui |
E667766
|
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: Uyui | Statement: [Uyui District, administrativeCenter, Uyui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uyui Context triple: [Uyui District, administrativeCenter, Uyui]
-
A.
Uyui
chosen
Uyui is an administrative town in central Tanzania that serves as the seat of Uyui District in the Tabora Region.
-
B.
Kediyu
Kediyu is a traditional flared upper garment worn by Gujarati men, especially in rural and folk dance contexts like Garba and Dandiya.
-
C.
Kunama
Kunama is a Nilo-Saharan language spoken primarily by the Kunama people in western Eritrea and adjacent parts of Ethiopia.
-
D.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
E.
Umrangso
Umrangso is an industrial and commercial town in Assam, India, known for its cement factories and hydroelectric power projects.
- 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_69c69f2583808190bd1a4936c42a5815 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f5784c908190b701959daf082625 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c846043ed48190b6fa45ed0e70b4d3 |
completed | March 28, 2026, 9:20 p.m. |
Created at: March 27, 2026, 3:43 p.m.