Triple
T3517882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stavanger |
E74350
|
entity |
| Predicate | locatedBy |
P2409
|
FINISHED |
| Object | Byfjorden |
E363649
|
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: Byfjorden | Statement: [Stavanger, locatedBy, Byfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Byfjorden Context triple: [Stavanger, locatedBy, Byfjorden]
-
A.
Byfjorden
chosen
Byfjorden is a coastal fjord in western Norway that forms the main seaway and natural harbor area adjacent to the city of Bergen.
-
B.
Beisfjorden
Beisfjorden is a fjord in Nordland county, Norway, known as an inner branch of the larger Ofotfjord near the town of Narvik.
-
C.
Bremnesfjorden
Bremnesfjorden is a fjord in Norway known for its coastal landscape along the island of Averøya.
-
D.
Tyrifjorden
Tyrifjorden is one of Norway’s largest lakes, known for its scenic surroundings and importance as a recreational and ecological area in Eastern Norway.
-
E.
Boknafjorden
Boknafjorden is a large fjord in Rogaland county in southwestern Norway, known for its many islands and role as an important maritime route.
- 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_69ad85cfb5c881909c9a2edd9d6043cc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc32f90081908960acb3e94402be |
completed | March 8, 2026, 6:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b402d3a06481908e512c09306a2566 |
completed | March 13, 2026, 12:28 p.m. |
Created at: March 8, 2026, 3:19 p.m.