Triple
T21742289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Knivsta IK |
E536687
|
entity |
| Predicate | basedIn |
P40
|
FINISHED |
| Object | Knivsta |
—
|
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: Knivsta | Statement: [Knivsta IK, basedIn, Knivsta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knivsta Context triple: [Knivsta IK, basedIn, Knivsta]
-
A.
Knivsta
chosen
Knivsta is a small town in Uppsala County, Sweden, known as a growing commuter community situated between Uppsala and Stockholm.
-
B.
Råvarpen
Råvarpen is a lake in the Swedish province of Dalsland, known as part of the region’s interconnected inland water system.
-
C.
Knippa
Knippa is a small unincorporated community in Uvalde County, Texas, known for its rural character and agricultural surroundings.
-
D.
Kalthof
Kalthof is a district of the city of Iserlohn in North Rhine-Westphalia, Germany.
-
E.
Killwangen
Killwangen is a small municipality in the canton of Aargau in northern Switzerland, situated in the Limmat Valley between Baden and Zurich.
- 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_69e0c46df5448190b4322127ffc4c690 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01a7322348190b2145fa922c480ed |
completed | April 28, 2026, 2:24 a.m. |
Created at: April 16, 2026, 6:49 p.m.