Triple
T3882269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akershus |
E92851
|
entity |
| Predicate | predecessor |
P97
|
FINISHED |
| Object | Akershus len |
E92851
|
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: Akershus len | Statement: [Akershus, predecessor, Akershus len]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Akershus len Context triple: [Akershus, predecessor, Akershus len]
-
A.
Akershus
chosen
Akershus is a historical county in southeastern Norway that encompassed areas around the capital Oslo and played a key role in the region’s administrative and military history.
-
B.
Akershus Fortress
Akershus Fortress is a historic medieval castle and former royal residence that has served as a key military stronghold and national symbol in Norway’s capital.
-
C.
Akershus Royal Banquet Hall
Akershus Royal Banquet Hall is a medieval castle–themed character dining restaurant in EPCOT’s World Showcase, best known for its Disney Princess meals.
-
D.
Akersneset
Akersneset is a headland in central Oslo, Norway, forming part of the waterfront area that includes the historic Akershus Fortress.
-
E.
St. Hanshaugen
St. Hanshaugen is a central borough of Oslo, Norway, known for its large hillside park and vibrant urban residential areas.
- 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_69aed9697de0819087c2559295ff3d12 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeec8e8b3481909617ca0e37f8a6d4 |
completed | March 9, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b512594fa081909ba2afad11f6ea59 |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:20 p.m.