Triple
T13418256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gisundet strait |
E313269
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Senja region |
E1024622
|
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: Senja region | Statement: [Gisundet strait, region, Senja region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senja region Context triple: [Gisundet strait, region, Senja region]
-
A.
Senja region
chosen
The Senja region is a coastal area in Troms, Northern Norway, centered on the island of Senja and known for its dramatic mountains, fjords, and fishing communities.
-
B.
Seeland region
The Seeland region is an area in western Switzerland known for its lakes, fertile plains, and intensive agriculture, particularly vegetable farming.
-
C.
Malnad region
The Malnad region is a hilly, forested belt of the Western Ghats in Karnataka, India, known for its heavy rainfall, lush greenery, and coffee and spice plantations.
-
D.
Taunus region
The Taunus region is a low mountain range in Hesse, Germany, known for its forested hills, spa towns, and historical castles overlooking the Rhine-Main area.
-
E.
Setesdal region
The Setesdal region is a traditional valley area in southern Norway known for its distinctive folk culture, music, and well-preserved rural landscapes.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaeb8416c8190a00dde0917c26f51 |
completed | April 12, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f73082a2548190aefc0f202b84165c |
completed | May 3, 2026, 11:24 a.m. |
Created at: April 9, 2026, 9:39 p.m.