Triple
T18448408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hallingdal Museum |
E450715
|
entity |
| Predicate | locatedInMunicipality |
P40
|
FINISHED |
| Object | Ål |
—
|
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: Ål | Statement: [Hallingdal Museum, locatedInMunicipality, Ål]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ål Context triple: [Hallingdal Museum, locatedInMunicipality, Ål]
-
A.
Ål
Ål is a mountainous rural municipality and village in central Norway, known for its traditional Hallingdal culture, outdoor recreation, and winter sports.
-
B.
Ål municipality
chosen
Ål municipality is a rural area in Viken county, Norway, known for its mountainous landscapes, traditional Hallingdal culture, and outdoor recreation opportunities such as skiing and hiking.
-
C.
Ålö
Ålö is a small island in the southern Stockholm archipelago of Sweden, known for its tranquil nature, forests, and coastal landscapes.
-
D.
Alingsås
Alingsås is a Swedish town known for its historic wooden architecture, café culture, and annual Lights in Alingsås illumination festival.
-
E.
Strömstad
Strömstad is a coastal town and municipality in western Sweden, near the Norwegian border, known for its archipelago, tourism, and ferry connections.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e52646949c81909664e864224675a6 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.