Triple
T15331996
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eid |
E366557
|
entity |
| Predicate | locatedBy |
P2409
|
FINISHED |
| Object | Eidsfjorden |
—
|
NE NERFINISHED |
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: Eidsfjorden | Statement: [Eid, locatedBy, Eidsfjorden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eidsfjorden Context triple: [Eid, locatedBy, Eidsfjorden]
-
A.
Eidsfjorden
chosen
Eidsfjorden is a Norwegian fjord known for its dramatic coastal scenery and traditional fishing communities.
-
B.
Eidfjorden
Eidfjorden is a scenic inner branch of Norway’s Hardangerfjord, known for its steep mountainsides, waterfalls, and fjord landscapes.
-
C.
Storfjorden
Storfjorden is a major fjord in western Norway known for its dramatic landscapes and proximity to the coastal town of Ålesund.
-
D.
Skudenesfjorden
Skudenesfjorden is a fjord in Rogaland county, southwestern Norway, lying along the coast by the island municipality of Karmøy and opening into the North Sea.
-
E.
Romsdalsfjorden
Romsdalsfjorden is a scenic fjord in Møre og Romsdal county, Norway, known for its dramatic landscapes, coastal towns, and role as a key waterway in the Romsdal region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0268608190947a58f559a67717 |
completed | April 16, 2026, 1:40 a.m. |
Created at: April 10, 2026, 3:17 a.m.