Triple
T11248913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egertorget |
E266277
|
entity |
| Predicate | nameInNorwegian |
P24009
|
FINISHED |
| Object | Egertorget |
E266277
|
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: Egertorget | Statement: [Egertorget, nameInNorwegian, Egertorget]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egertorget Context triple: [Egertorget, nameInNorwegian, Egertorget]
-
A.
Egertorget
chosen
Egertorget is a central public square and popular meeting point in downtown Oslo, Norway, known for its shops, street life, and role as a hub along the city’s main thoroughfare.
-
B.
Kjerkeberget
Kjerkeberget is a forested hill in Norway that marks the highest natural point within Oslo’s municipal boundaries.
-
C.
Spiterstulen
Spiterstulen is a mountain lodge in Norway’s Jotunheimen region that serves as a key base for hikers and climbers exploring nearby peaks.
-
D.
Stetind
Stetind is a distinctive, obelisk-shaped granite mountain in Nordland, Norway, often called Norway’s national mountain and renowned among climbers and photographers.
-
E.
Felsennest
Felsennest was one of Adolf Hitler’s early World War II military headquarters, located in western Germany and used during the 1940 campaign in France.
- 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_69d6aac7953c8190b82caf9d7640fdf9 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91d1484819098ee6b2efb5316a5 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4cc76b10c8190962b21c4cad6ce8f |
completed | April 19, 2026, 12:37 p.m. |
Created at: April 8, 2026, 9:31 p.m.