Triple
T16684709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European route E8 |
E405429
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object | Muonio |
E374327
|
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: Muonio | Statement: [European route E8, passesThrough, Muonio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muonio Context triple: [European route E8, passesThrough, Muonio]
-
A.
Muonio
chosen
Muonio is a small municipality in Finnish Lapland known for its Arctic landscapes, outdoor tourism, and proximity to the Swedish border.
-
B.
Ratia
Ratia is a town and municipal council in the Fatehabad district of the Indian state of Haryana.
-
C.
Muota
Muota is a river in central Switzerland that flows through the canton of Schwyz before joining the Reuss.
-
D.
Valak
Valak is a demonic nun and primary antagonist in The Conjuring film universe, known for its terrifying, shape-shifting presence and central role in several franchise installments.
-
E.
Monyash
Monyash is a small historic village in the Derbyshire Peak District of England, known for its limestone scenery and proximity to popular walking areas.
- 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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37d71a66881908c8d06cc074fdf29 |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a422f8c8190873fd7089df8fbd4 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.