Triple
T18059835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vasastan |
E432140
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Norrtull |
—
|
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: Norrtull | Statement: [Vasastan, contains, Norrtull]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norrtull Context triple: [Vasastan, contains, Norrtull]
-
A.
Norrtull
chosen
Norrtull is a major traffic junction and historical city gate area in northern central Stockholm, Sweden.
-
B.
Karlsborg
Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
-
C.
Rosengård
Rosengård is a prominent Swedish football club based in Malmö, known for its successful women's team and history of developing world-class players.
-
D.
Hammarberg
Hammarberg is a Swedish surname most notably associated with human rights advocate and former Council of Europe Commissioner for Human Rights Thomas Hammarberg.
-
E.
Bruntinge
Bruntinge is a small village located in the municipality of Midden-Drenthe in the Dutch province of Drenthe.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4c10583648190a161c58abf4853d5 |
completed | April 19, 2026, 11:48 a.m. |
Created at: April 10, 2026, 10:26 a.m.