Triple
T22402256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muhu |
E553788
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Kuivastu |
—
|
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: Kuivastu | Statement: [Muhu, hasVillage, Kuivastu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuivastu Context triple: [Muhu, hasVillage, Kuivastu]
-
A.
Makiivka
Makiivka is a large industrial city in eastern Ukraine known for its coal mining and heavy industry, located near Donetsk in the Donbas region.
-
B.
Vishkanya
Vishkanya is a 1991 Indian Hindi-language horror film known for its supernatural revenge plot and early appearance of actress Riya Sen.
-
C.
Karesi
Karesi is a central district and municipality of Balıkesir in western Turkey, known for its role as an administrative and commercial hub of the province.
-
D.
Kavastu
chosen
Kavastu is a small village in eastern Estonia known for its historic cable ferry crossing over the Emajõgi River.
-
E.
Rolava
Rolava is a river in the Czech Republic that flows through the Ore Mountains region before joining the Ohře River.
- 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_69e11e4da7048190b4387d422a9a0de5 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f158b4a96c8190838f5dda21c4d853 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 16, 2026, 8:46 p.m.