Triple
T15464209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slogen |
E371984
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Hellesylt |
E367279
|
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: Hellesylt | Statement: [Slogen, locatedNear, Hellesylt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hellesylt Context triple: [Slogen, locatedNear, Hellesylt]
-
A.
Hellesylt
chosen
Hellesylt is a small Norwegian village and popular tourist gateway to the UNESCO-listed Geirangerfjord, known for its dramatic fjord scenery and waterfalls.
-
B.
Örgryte
Örgryte is a historic district in Gothenburg, Sweden, known for its residential areas, green spaces, and proximity to the city center.
-
C.
Hallau
Hallau is a Swiss wine-growing village and municipality renowned for its vineyards and traditional viticulture, located in the canton of Schaffhausen.
-
D.
Hardanger cider
Hardanger cider is a traditional Norwegian alcoholic beverage made from apples grown in the Hardanger region, renowned for its distinctive taste and long-standing cultural heritage.
-
E.
Storslett
Storslett is a small village and administrative center in Nordreisa Municipality in Troms og Finnmark county in northern Norway.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1927708190a0d2b63e75469a0e |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cff942081908a2f5351079666a3 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:33 a.m.