Triple
T15216935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lærdalsøyri |
E363659
|
entity |
| Predicate | traversedBy |
P225
|
FINISHED |
| Object | Lærdalselvi |
E1147630
|
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: Lærdalselvi | Statement: [Lærdalsøyri, traversedBy, Lærdalselvi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lærdalselvi Context triple: [Lærdalsøyri, traversedBy, Lærdalselvi]
-
A.
Lærdalselvi
chosen
Lærdalselvi is a renowned salmon river in western Norway, flowing through the Lærdal valley to the Sognefjord and known for both its fishing and scenic landscape.
-
B.
Sogndalselvi
Sogndalselvi is a river in western Norway known for flowing through the village of Sogndal into the Sognefjord and for its scenic valley and salmon fishing.
-
C.
Solbergelva
Solbergelva is a village in Viken county, Norway, situated along the Drammenselva river and functioning largely as a residential suburb of Drammen.
-
D.
Børselva
Børselva is a river in northern Norway known for flowing into Porsangerfjorden and for its scenic Arctic landscape and salmon fishing.
-
E.
Verdalselva
Verdalselva is a river in Trøndelag county, Norway, known for flowing through the Verdalen valley and supporting local agriculture, recreation, and salmon fishing.
- 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_69ff0b37e4388190b748e884b3ba7568 |
completed | May 9, 2026, 10:23 a.m. |
Created at: April 10, 2026, 3:11 a.m.