Triple
T19738935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Denmark Region |
E474059
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Aabybro |
—
|
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: Aabybro | Statement: [North Denmark Region, containsCity, Aabybro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aabybro Context triple: [North Denmark Region, containsCity, Aabybro]
-
A.
Aabybro
chosen
Aabybro is a Danish town in the North Jutland region, known as a local commercial and residential center in the Vendsyssel area.
-
B.
Alböke
Alböke is a small locality on the island of Öland in southeastern Sweden, situated within Kalmar County.
-
C.
Naven
Naven is an anthropological study by Gregory Bateson that analyzes the ritual practices and social structure of the Iatmul people of New Guinea.
-
D.
Krabat
Krabat is a dark fantasy novel by Otfried Preußler about a boy who becomes an apprentice at a sinister mill that is actually a school of black magic.
-
E.
Albaxen
Albaxen is a village and district of the town of Höxter in North Rhine-Westphalia, Germany.
- 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_69d8e517ebd48190979ee76723bcfadf |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6515f6efc8190a3da113847464399 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.