Triple
T15014355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Molde |
E377919
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Moldefjorden |
E1195231
|
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: Moldefjorden | Statement: [Port of Molde, locatedOn, Moldefjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moldefjorden Context triple: [Port of Molde, locatedOn, Moldefjorden]
-
A.
Moldefjorden
chosen
Moldefjorden is a fjord in Møre og Romsdal county, Norway, known for its scenic coastal landscape near the town of Molde.
-
B.
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.
-
C.
Randsfjorden
Randsfjorden is one of Norway’s largest inland lakes, located in Eastern Norway and known for its elongated shape and surrounding forested landscapes.
-
D.
Vetlefjorden
Vetlefjorden is a small fjord arm in Vestland county, Norway, known for its scenic landscapes and connection to the larger Sognefjorden.
-
E.
Bjørnafjorden
Bjørnafjorden is a large fjord in western Norway known for its scenic coastal landscape and role as an important marine and transport corridor in Vestland county.
- 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_69d85cd3a3c881908c71fc424d459c17 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7623c3c819092ca36b358b01842 |
completed | April 15, 2026, 12:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007757ed48190813f6ab839240a15 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 2:55 a.m.