Triple
T15528971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauvvik |
E370159
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Høgsfjorden |
E1131424
|
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: Høgsfjorden | Statement: [Lauvvik, locatedOn, Høgsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Høgsfjorden Context triple: [Lauvvik, locatedOn, Høgsfjorden]
-
A.
Høgsfjorden
chosen
Høgsfjorden is a fjord in Rogaland county in southwestern Norway, known for its deep waters and scenic landscapes near the city of Stavanger.
-
B.
Topdalsfjorden
Topdalsfjorden is a coastal fjord in southern Norway, located near the city of Kristiansand in Agder county.
-
C.
Hjeltefjorden
Hjeltefjorden is a coastal fjord in Vestland county, western Norway, forming an important maritime route north of Bergen between the island of Sotra and the mainland.
-
D.
Sjusjøen
Sjusjøen is a popular Norwegian cross-country skiing destination and mountain village known for its extensive trail network and scenic highland landscapes near Lillehammer.
-
E.
Heggefjorden
Heggefjorden is a lake in the municipality of Øystre Slidre in Innlandet county, Norway, known for its scenic mountain surroundings and traditional rural landscape.
- 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e0414620588190958ffde651ccab5f |
completed | April 16, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01953c493c819084850ab8e7f0d261 |
completed | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 4:05 a.m.