Triple
T10173619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uspenski Cathedral |
E235793
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Katajanokka |
E746512
|
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: Katajanokka | Statement: [Uspenski Cathedral, locatedIn, Katajanokka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Katajanokka Context triple: [Uspenski Cathedral, locatedIn, Katajanokka]
-
A.
Katajanokka
chosen
Katajanokka is a central Helsinki district known for its historic red-brick port warehouses, Art Nouveau residential buildings, and the prominent Uspenski Cathedral overlooking the harbor.
-
B.
Tammisaari
Tammisaari is a historic coastal town in southern Finland, known for its well-preserved wooden old town and seaside setting.
-
C.
Vallisaari
Vallisaari is a former military island near Helsinki, Finland, known for its rich nature, historic fortifications, and accessibility as a recreational area.
-
D.
Kemiönsaari
Kemiönsaari is a bilingual Finnish municipality and island community known for its coastal archipelago landscapes in Southwest Finland.
-
E.
Kuusisaari
Kuusisaari is an affluent residential island and neighborhood in Helsinki, Finland, known for its embassies, villas, and seaside location.
- 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_69ca84d1d5f88190ab878a1021ecff68 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdeca0dc508190916f2a1bbb288192 |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d3010c386481908bc0c985c0b5ff93 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:11 p.m.