Triple
T22683387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stellæburgum |
E560841
|
entity |
| Predicate | hasNameInDanish |
P58114
|
FINISHED |
| Object | Stjerneborg |
—
|
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: Stjerneborg | Statement: [Stellæburgum, hasNameInDanish, Stjerneborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stjerneborg Context triple: [Stellæburgum, hasNameInDanish, Stjerneborg]
-
A.
Stjerneborg
chosen
Stjerneborg was Tycho Brahe’s underground observatory on the island of Hven, designed to provide highly precise astronomical measurements sheltered from wind and weather.
-
B.
Solbjerg
Solbjerg is a suburban town and residential area in the southern part of Aarhus, Denmark.
-
C.
Padborg
Padborg is a Danish town in Southern Jutland known as an important transport and border crossing hub between Denmark and Germany.
-
D.
Skovshoved
Skovshoved is a coastal village and suburb north of Copenhagen, Denmark, known for its historic harbor and picturesque seaside setting.
-
E.
Wikborg
Wikborg is a Norwegian surname most notably associated with politician and former Minister of Foreign Affairs Erling Wikborg.
- 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_69e2454d71b48190a1f80af9f82b6fcf |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f1786204d88190a837a5f04e16e94c |
completed | April 29, 2026, 3:17 a.m. |
Created at: April 17, 2026, 3:12 p.m.