Triple
T20636740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alvdal |
E507103
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Rendalen |
—
|
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: Rendalen | Statement: [Alvdal, neighboringMunicipality, Rendalen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rendalen Context triple: [Alvdal, neighboringMunicipality, Rendalen]
-
A.
Rendalen
chosen
Rendalen is a sparsely populated municipality in Innlandet county, Norway, known for its vast forests, lakes, and outdoor recreation opportunities.
-
B.
Reinheim
Reinheim is a small town in the German state of Hesse, located southeast of Darmstadt in the Darmstadt-Dieburg district.
-
C.
Thamerdal
Thamerdal is a residential neighborhood within the Dutch town of Uithoorn in the province of North Holland.
-
D.
Rennebu
Rennebu is a rural municipality in Trøndelag county, Norway, known for its distinctive Y-shaped church and scenic valley landscapes.
-
E.
Rælingen
Rælingen is a municipality in Viken county, Norway, known for its proximity to Oslo and its mix of residential areas, forests, and lakes.
- 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_69e0b4bd4a0081908d4e97a590a33fb2 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6ad1089448190b936de6fd29c8350 |
completed | April 20, 2026, 10:47 p.m. |
Created at: April 16, 2026, 11:42 a.m.