Triple
T10428447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marker |
E245845
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Ørje |
E245882
|
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: Ørje | Statement: [Marker, administrativeCenter, Ørje]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ørje Context triple: [Marker, administrativeCenter, Ørje]
-
A.
Ørje
chosen
Ørje is a small village in southeastern Norway known for its historic locks on the Halden Canal and its role as a local commercial and service hub.
-
B.
Ørland
Ørland is a coastal municipality in Trøndelag county, Norway, known for its strategic air base and rich maritime and agricultural landscape.
-
C.
Andørja
Andørja is a mountainous island in northern Norway known for its deep fjords and scenic Arctic landscapes.
-
D.
Sørkjosen
Sørkjosen is a small coastal village in Northern Norway known as a gateway to the Reisa valley and Reisa National Park.
-
E.
Ørskog
Ørskog is a village and former municipality in western Norway, located in the county of Møre og Romsdal.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea4a7dcc81909a830e08656a1c0c |
completed | April 7, 2026, 11:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d87ea554888190bf2ef31e33c0ff14 |
completed | April 10, 2026, 4:37 a.m. |
Created at: April 6, 2026, 12:13 p.m.