Triple
T18113543
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valdresflye |
E433539
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Bygdin lake |
—
|
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: Bygdin lake | Statement: [Valdresflye, near, Bygdin lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bygdin lake Context triple: [Valdresflye, near, Bygdin lake]
-
A.
Bygdin lake
chosen
Bygdin lake is a high-altitude mountain lake in Norway, renowned for its scenic setting amid the peaks and hiking trails of Jotunheimen.
-
B.
Vinstre lake
Vinstre lake is a mountain lake in Innlandet county, Norway, known for its scenic surroundings and role in local outdoor recreation and hydropower regulation.
-
C.
Drevviken Lake
Drevviken Lake is a large recreational lake in the Stockholm region of Sweden, known for its natural surroundings and opportunities for swimming, fishing, and outdoor activities.
-
D.
Brunnsviken Lake
Brunnsviken Lake is a scenic urban lake in northern Stockholm, Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
E.
Damhus Lake
Damhus Lake is an urban lake and recreational area in Copenhagen, Denmark, known for its walking paths, green spaces, and birdlife.
- 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_69d8b90916008190a1f110bd7ced5473 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddd3fd9c81909bfe95927f7553e3 |
completed | April 19, 2026, 1:51 p.m. |
Created at: April 10, 2026, 10:28 a.m.