Triple
T22055018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arensburg |
E544983
|
entity |
| Predicate | correspondsToModernAdministrativeUnit |
P36806
|
FINISHED |
| Object | Kuressaare linn |
—
|
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: Kuressaare linn | Statement: [Arensburg, correspondsToModernAdministrativeUnit, Kuressaare linn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kuressaare linn Context triple: [Arensburg, correspondsToModernAdministrativeUnit, Kuressaare linn]
-
A.
Kuressaare
chosen
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
B.
Haapsalu
Haapsalu is a small seaside town in western Estonia known for its historic wooden architecture, medieval castle, and traditional seaside resort and spa culture.
-
C.
Rakvere
Rakvere is a historic town in northern Estonia known for its medieval castle ruins and role as a regional cultural and economic center.
-
D.
Kõrgessaare
Kõrgessaare is a small settlement on the island of Hiiumaa in western Estonia, known for its coastal location and rural character.
-
E.
Maardu
Maardu is an industrial town in northern Estonia, located just east of the capital Tallinn in Harju County.
- 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_69e11e3377c48190890c17407b9527d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f1285681848190a0bbe18d504d1f34 |
completed | April 28, 2026, 9:36 p.m. |
Created at: April 16, 2026, 8:26 p.m.