Triple
T4458961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leksand |
E98202
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Rättvik |
E356510
|
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: Rättvik | Statement: [Leksand, locatedNear, Rättvik]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rättvik Context triple: [Leksand, locatedNear, Rättvik]
-
A.
Rättvik
chosen
Rättvik is a small town in central Sweden known for its traditional Swedish culture, lakeside setting on Lake Siljan, and historic wooden pier.
-
B.
The Righteous
The Righteous is a film written by and starring Mark O'Brien, known as a brooding psychological horror drama with strong religious and moral themes.
-
C.
Veckring
Veckring is a small commune in northeastern France, notable for its proximity to the major Maginot Line fortification of Hackenberg.
-
D.
Rycken
Rycken is a Dutch-origin surname historically borne by families such as that of Abraham Rycken in the Low Countries and early colonial America.
-
E.
Storvreten
Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6283811f0819095aa671ac593bd8d |
completed | March 15, 2026, 3:32 a.m. |
Created at: March 12, 2026, 11:33 p.m.