Triple
T14056160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amaliegade |
E338223
|
entity |
| Predicate | hasNotableBuilding |
P1544
|
FINISHED |
| Object | Amaliegade 79 |
E338223
|
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: Amaliegade 79 | Statement: [Amaliegade, hasNotableBuilding, Amaliegade 79]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amaliegade 79 Context triple: [Amaliegade, hasNotableBuilding, Amaliegade 79]
-
A.
Amaliegade
chosen
Amaliegade is a historic street in central Copenhagen, Denmark, known for its elegant 18th-century townhouses and proximity to the royal Amalienborg Palace.
-
B.
Pilestredet
Pilestredet is a central street in Oslo, Norway, known for hosting parts of Oslo Metropolitan University's main campus and various urban institutions.
-
C.
Humlegården
Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
-
D.
Gavlerinken
Gavlerinken is the former name of Monitor ERP Arena, an indoor ice hockey and events venue in Gävle, Sweden.
-
E.
Langebrug
Langebrug is a historic bridge spanning the Spaarne River in the Dutch city of Haarlem.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de3c8d1aa48190a5055d15d9fa220c |
completed | April 14, 2026, 1:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d027450819098f4f9be71451ec5 |
completed | May 8, 2026, 1:31 a.m. |
Created at: April 9, 2026, 10:20 p.m.