Triple
T5370480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Østerdalen |
E108835
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Åmot |
E457402
|
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: Åmot | Statement: [Østerdalen, contains, Åmot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åmot Context triple: [Østerdalen, contains, Åmot]
-
A.
Åmot
chosen
Åmot is a rural municipality in Innlandet county in eastern Norway, known for its forests, rivers, and outdoor recreation.
-
B.
Andrott
Andrott is a major inhabited island and urban center in the Lakshadweep archipelago of India, known for its dense population and traditional coastal communities.
-
C.
Åmli
Åmli is a rural municipality in Agder county in southern Norway, known for its forested landscapes, rivers, and outdoor recreation opportunities.
-
D.
Nordanstig Municipality
Nordanstig Municipality is a local government area in east-central Sweden known for its rural landscapes along the Gulf of Bothnia.
-
E.
Åsta
Åsta is a river in southeastern Norway that serves as a notable tributary to the country’s longest river, the Glomma.
- 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29307cc481908fa4d8b52711bbd4 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.