Triple
T8677428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Österbottens landskap |
E205950
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Kristinestad |
E235805
|
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: Kristinestad | Statement: [Österbottens landskap, containsMunicipality, Kristinestad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristinestad Context triple: [Österbottens landskap, containsMunicipality, Kristinestad]
-
A.
Kristinestad
chosen
Kristinestad is a small coastal town in western Finland known for its well-preserved wooden old town and historic maritime character.
-
B.
Ørsta
Ørsta is a municipality in Møre og Romsdal county, Norway, known for its dramatic fjord and mountain landscapes and as a center for outdoor activities like hiking and skiing.
-
C.
Tvedestrand
Tvedestrand is a coastal town and municipality in southern Norway known for its wooden houses, maritime heritage, and picturesque archipelago.
-
D.
Smestad
Smestad is a residential neighborhood in Oslo, Norway, known for its affluent housing and proximity to green areas and good public transport.
-
E.
Harstad
Harstad is a coastal town and municipality in Troms county, known as an important regional center in Northern Norway with a strong maritime and cultural heritage.
- 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_69ca83529a9c8190b5c075b4f14636ed |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc49f7c2c081909ec93413ceefbb1c |
completed | March 31, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3a008d48190bd0e58f615eda148 |
completed | April 2, 2026, 10:54 p.m. |
Created at: March 30, 2026, 6:32 p.m.