Triple
T11665395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hôtel d’Angleterre |
E277235
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kongens Nytorv |
E343077
|
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: Kongens Nytorv | Statement: [Hôtel d’Angleterre, locatedIn, Kongens Nytorv]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kongens Nytorv Context triple: [Hôtel d’Angleterre, locatedIn, Kongens Nytorv]
-
A.
Kongens Nytorv
chosen
Kongens Nytorv is a historic central square in Copenhagen known for its grand architecture, cultural institutions, and role as a major urban hub.
-
B.
Købmagergade
Købmagergade is a central pedestrian shopping street in Copenhagen, Denmark, known for its historic buildings and popular retail stores.
-
C.
Bragernes Torg
Bragernes Torg is the central town square of Drammen, Norway, known as a major public gathering place surrounded by shops, cafes, and cultural venues.
-
D.
Stortorvet
Stortorvet is a central public square in downtown Oslo, Norway, known as a busy transport hub and commercial meeting place.
-
E.
Frederiksgade
Frederiksgade is a prominent street in central Copenhagen that forms part of the grand axial approach to Amalienborg Palace and the Marble Church.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee88355fe08190b16b417c12e69e1a |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 8, 2026, 9:39 p.m.