Triple
T6136710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skaugum |
E136850
|
entity |
| Predicate | hasNameInNorwegian |
P24009
|
FINISHED |
| Object | Skaugum |
E24245
|
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: Skaugum | Statement: [Skaugum, hasNameInNorwegian, Skaugum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skaugum Context triple: [Skaugum, hasNameInNorwegian, Skaugum]
-
A.
Skaugum
chosen
Skaugum is the official country residence of the Norwegian royal family, located in Asker near Oslo.
-
B.
Skanstull
Skanstull is a district in southern central Stockholm, Sweden, known as a major traffic junction and gateway to the island of Södermalm.
-
C.
Skarnes
Skarnes is a village in Norway that serves as an administrative and commercial center in the Glåmdalen region.
-
D.
Skáli
Skáli is a small village on the island of Eysturoy in the Faroe Islands, known for its coastal setting and traditional Faroese character.
-
E.
Skiptvet
Skiptvet is a rural municipality in Viken county, southeastern Norway, known for its agricultural landscape and small villages.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c8211d48190bc10675ba6707150 |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135e22b9481908e6023d1b0a5d0fd |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.