Triple
T21295435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gjemnes |
E524907
|
entity |
| Predicate | containsVillage |
P4011
|
FINISHED |
| Object | Batnfjordsøra |
—
|
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: Batnfjordsøra | Statement: [Gjemnes, containsVillage, Batnfjordsøra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Batnfjordsøra Context triple: [Gjemnes, containsVillage, Batnfjordsøra]
-
A.
Batnfjordsøra
chosen
Batnfjordsøra is a small village in Møre og Romsdal county, Norway, situated at the end of the Batnfjorden and serving as a local hub for services and commerce.
-
B.
Tinnsjå
Tinnsjå is a deep, mountainous lake in Telemark, Norway, known for its dramatic scenery and historical significance, including its role in World War II.
-
C.
Søråa
Søråa is a river located in the Namdalen district of Trøndelag county in central Norway.
-
D.
Nærøy
Nærøy is a former coastal municipality in Trøndelag county, Norway, known for its fishing communities and island-dotted landscape.
-
E.
Verdalsøra
Verdalsøra is a small town in Trøndelag county, Norway, known for its riverside setting and role as a local commercial and service hub.
- 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_69e0b517e6748190850d6f6ddf323d69 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73857784881908c3b8418a4c00c1e |
completed | April 21, 2026, 8:41 a.m. |
Created at: April 16, 2026, 4:04 p.m.