Triple
T15427333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Horsens |
E369544
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Höganäs |
E700035
|
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: Höganäs | Statement: [Horsens, hasTwinTown, Höganäs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Höganäs Context triple: [Horsens, hasTwinTown, Höganäs]
-
A.
Höganäs
chosen
Höganäs is a coastal town and municipality in Skåne County in southern Sweden, known for its ceramics industry and scenic location by the Öresund Strait.
-
B.
Sandvik
Sandvik is a coastal village on the island of Öland in southeastern Sweden, known for its historic windmill and scenic Baltic Sea shoreline.
-
C.
Sandvik
Sandvik is a Swedish multinational engineering group specializing in advanced tools, mining and construction equipment, and materials technology.
-
D.
Outokumpu
Outokumpu is a small Finnish town in the North Karelia region, historically known for its copper mining industry.
-
E.
Stenstorp
Stenstorp is a small locality in Västra Götaland County, Sweden, known as the birthplace of Nobel Prize–winning engineer and inventor Nils Gustaf Dalén.
- 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_69d85a1849f48190bf898068b2806fae |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ec31f4881908b26ff7c381d7bc9 |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1a8099448190be71f7b649c7e545 |
completed | May 9, 2026, 11:29 a.m. |
Created at: April 10, 2026, 3:20 a.m.