Triple
T2317533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Geita Region |
E51099
|
entity |
| Predicate | regionalCapital |
P3877
|
FINISHED |
| Object | Geita |
E256510
|
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: Geita | Statement: [Geita Region, regionalCapital, Geita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Geita Context triple: [Geita Region, regionalCapital, Geita]
-
A.
Geita
chosen
Geita is a town in northwestern Tanzania that serves as an administrative and commercial center for the surrounding gold-mining region.
-
B.
Giez
Giez is a small municipality in the canton of Vaud in western Switzerland, situated near the town of Grandson and close to Lake Neuchâtel.
-
C.
Getaria
Getaria is a coastal town in Spain’s Basque Country, known as the birthplace of explorer Juan Sebastián Elcano and for its fishing heritage and txakoli wine.
-
D.
Gein
Gein is a metro station in Amsterdam, Netherlands, serving as one of the termini of the city's metro network.
-
E.
Ehoiai
Ehoiai is an alternative title for the ancient Greek Hesiodic Catalogue of Women, a fragmentary epic poem that recounts the genealogies and heroic myths of legendary women.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc62df2048190ac7a5ebc0a4139b2 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9610b420819095afb76347ddf9ee |
completed | March 9, 2026, 9:42 a.m. |
Created at: March 4, 2026, 7:49 p.m.