Triple
T18632567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristinehamn |
E455458
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Kristinehamn@en |
—
|
NE NERFINISHED |
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: Kristinehamn@en | Statement: [Kristinehamn, hasNameInLanguage, Kristinehamn@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kristinehamn@en Context triple: [Kristinehamn, hasNameInLanguage, Kristinehamn@en]
-
A.
Kristinehamn
chosen
Kristinehamn is a small Swedish town in Värmland County known for its lakeside location on Vänern and its historical role as a regional trading and industrial center.
-
B.
Kristinehamn Municipality
Kristinehamn Municipality is a local government area in western Sweden centered on the town of Kristinehamn, known for its lakeside location on Vänern and regional cultural and industrial heritage.
-
C.
Kristineberg
Kristineberg is a residential neighborhood in the western part of central Stockholm, known for its waterfront location and green areas.
-
D.
Katrineholm
Katrineholm is a small Swedish town known as a regional transport hub and service center in central Södermanland.
-
E.
Degerhamn
Degerhamn is a small coastal village on the island of Öland in southeastern Sweden, known historically for its industrial activity and proximity to notable natural and cultural sites.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54fc5c7ec8190ab0c64f009583f96 |
completed | April 19, 2026, 9:57 p.m. |
Created at: April 10, 2026, 11:46 a.m.