Triple
T8587620
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kruununhaka |
E203344
|
entity |
| Predicate | hasFinnishName |
P1435
|
FINISHED |
| Object | Kruununhaka |
E203344
|
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: Kruununhaka | Statement: [Kruununhaka, hasFinnishName, Kruununhaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kruununhaka Context triple: [Kruununhaka, hasFinnishName, Kruununhaka]
-
A.
Kruununhaka
chosen
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
-
B.
Kauhava
Kauhava is a town in western Finland known historically for its aviation activities and air base, as well as its traditional knife-making heritage.
-
C.
Hailuoto
Hailuoto is a Finnish island in the northern Baltic Sea known for its unique dune landscapes, birdlife, and traditional fishing villages.
-
D.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
E.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
- 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_69ca8329bb7c8190a63c643730839103 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc457dc76481908ec5ee31ad72e887 |
completed | March 31, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebb9716948190b0eb61ddf25fb333 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:23 p.m.