Triple
T23075171
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asker |
E575307
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Skaugum |
—
|
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: Skaugum | Statement: [Asker, contains, Skaugum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skaugum Context triple: [Asker, contains, Skaugum]
-
A.
Skaugum
chosen
Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
-
B.
Skaun
Skaun is a rural municipality in Trøndelag county, Norway, known for its scenic landscapes, agriculture, and proximity to the city of Trondheim.
-
C.
Skaaren
Skaaren is a surname most notably associated with Warren Skaaren, an American screenwriter and film producer.
-
D.
Sköndal
Sköndal is a residential district in southern Stockholm, Sweden, known for its green areas and proximity to lakes.
-
E.
Skage
Skage is a small village in the municipality of Overhalla in Trøndelag county, Norway.
- 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_69e245be28d48190ad1348d5a73db37d |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18c62c200819099c92654493288ad |
completed | April 29, 2026, 4:43 a.m. |
Created at: April 17, 2026, 3:56 p.m.