Triple
T21545437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oslomarka |
E531610
|
entity |
| Predicate | hasOfficialName |
P66
|
FINISHED |
| Object | Oslomarka |
—
|
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: Oslomarka | Statement: [Oslomarka, hasOfficialName, Oslomarka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oslomarka Context triple: [Oslomarka, hasOfficialName, Oslomarka]
-
A.
Oslomarka
chosen
Oslomarka is the extensive forested and hilly recreational area surrounding Oslo, Norway, popular for hiking, skiing, and outdoor activities.
-
B.
Mossemarka
Mossemarka is a forested recreational area near the town of Moss in southeastern Norway, popular for outdoor activities such as hiking and skiing.
-
C.
Skorba
Skorba is an archaeological temple site in Malta, notable for its prehistoric megalithic structures that form part of the island’s ancient temple complex heritage.
-
D.
Olsok
Olsok is a traditional Norwegian feast day on July 29 commemorating the death of Saint Olaf, marking an important religious and cultural celebration in Norway.
-
E.
Garmsar
Garmsar is a city in Semnan Province of north-central Iran, known as a regional transport hub and gateway between Tehran and eastern parts of the country.
- 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_69e0c45f17148190949c330ab9c27706 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeb58e38808190888f3501cf4fff7c |
completed | April 27, 2026, 1:02 a.m. |
Created at: April 16, 2026, 6:28 p.m.