Triple
T21141923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grimstadfjorden (Agder) |
E520952
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | town of Grimstad |
—
|
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: town of Grimstad | Statement: [Grimstadfjorden (Agder), near, town of Grimstad]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: town of Grimstad Context triple: [Grimstadfjorden (Agder), near, town of Grimstad]
-
A.
Grongstad
Grongstad is a small settlement located within the municipality of Overhalla in Trøndelag county, Norway.
-
B.
Bjug Harstad
Bjug Harstad was a Norwegian-American Lutheran minister and educator best known for establishing Pacific Lutheran University in Washington State.
-
C.
Kragerø
Kragerø is a coastal town in Norway renowned for its picturesque archipelago, historic wooden buildings, and role as a popular summer holiday destination.
-
D.
Bjølstad
Bjølstad is a small settlement located in Sel municipality in Innlandet county, Norway, known for its rural setting in the Gudbrandsdalen valley region.
-
E.
Grimstad
chosen
Grimstad is a coastal town and municipality in southern Norway known for its maritime heritage, charming wooden houses, and role as a summer tourist destination.
- 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_69e0b50c6a848190a4e525a77a319b8a |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e723f96cf081909d10309e08aeca93 |
completed | April 21, 2026, 7:15 a.m. |
Created at: April 16, 2026, 2:57 p.m.