Triple
T5729582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frogner |
E126347
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Uranienborg |
E134056
|
NE FINISHED |
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: Uranienborg | Statement: [Frogner, contains, Uranienborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uranienborg Context triple: [Frogner, contains, Uranienborg]
-
A.
Tivoli
Tivoli is an IBM software brand known for its enterprise systems management and monitoring solutions.
-
B.
Tivoli
Tivoli is an Italian hill town east of Rome renowned for its historic villas and gardens, including Emperor Hadrian’s vast imperial retreat, Hadrian’s Villa.
-
C.
Nurmengard
Nurmengard is a high-security wizarding prison built by the dark wizard Gellert Grindelwald in the Harry Potter universe, later used to confine Grindelwald himself.
-
D.
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.
-
E.
Ulriksdal Palace
Ulriksdal Palace is a historic royal residence and former hunting lodge located in a large park by Edsviken bay just north of central Stockholm, Sweden.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a8cca748190b471c842fd2ce218 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.