Triple
T15216945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lærdalsøyri |
E363659
|
entity |
| Predicate | subjectTo |
P258
|
FINISHED |
| Object | Lærdalsøyri fire of 2014 |
E363659
|
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: Lærdalsøyri fire of 2014 | Statement: [Lærdalsøyri, subjectTo, Lærdalsøyri fire of 2014]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lærdalsøyri fire of 2014 Context triple: [Lærdalsøyri, subjectTo, Lærdalsøyri fire of 2014]
-
A.
Lærdalsøyri
chosen
Lærdalsøyri is a historic village in western Norway known for its well-preserved wooden buildings and location at the inner end of the Sognefjord.
-
B.
Dølen
Dølen was a 19th-century Norwegian weekly periodical, written in Landsmål by Aasmund Olavsson Vinje, that combined literary works with social and political commentary.
-
C.
Hauge i Dalane
Hauge i Dalane is a village in Rogaland county, Norway, known as the main settlement of the Sokndal municipality in the Dalane district.
-
D.
Dælenenga
Dælenenga is an area in Oslo, Norway, known for its sports facilities and urban character within the inner-city district.
-
E.
Fyresdal
Fyresdal is a rural municipality in Telemark county, Norway, known for its forests, lakes, and traditional farming communities.
- 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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0076f90c481909989befe031a2cae |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed343f51481908f04c35d37b39ad2 |
completed | May 9, 2026, 6:25 a.m. |
Created at: April 10, 2026, 3:11 a.m.