Triple
T22679595
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiiumaa Parish |
E560442
|
entity |
| Predicate | containsAdministrativeTerritorialEntity |
P747
|
FINISHED |
| Object | Käina |
—
|
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: Käina | Statement: [Hiiumaa Parish, containsAdministrativeTerritorialEntity, Käina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Käina Context triple: [Hiiumaa Parish, containsAdministrativeTerritorialEntity, Käina]
-
A.
Käina
chosen
Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
-
B.
Kainene
Kainene is a sharp-witted, enigmatic Nigerian businesswoman whose complex relationships and moral ambiguities are central to Chimamanda Ngozi Adichie’s novel "Half of a Yellow Sun."
-
C.
Kaa
Kaa is a giant, hypnotic python who serves as a dangerous and manipulative predator in Disney’s live-action adaptation of The Jungle Book.
-
D.
Kaindy
Kaindy is a town in northern Kyrgyzstan that serves as an important urban center within the Chuy Region.
-
E.
Kaei
Kaei was a Japanese era name (nengō) of the late Edo period, notable for encompassing events such as the arrival of Commodore Perry and the opening of Japan to the West.
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1785f68b4819082c5570f741f5135 |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:11 p.m.