Triple
T16399872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofiero Palace |
E398282
|
entity |
| Predicate | ownedBy |
P347
|
FINISHED |
| Object | City of Helsingborg |
E173429
|
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: City of Helsingborg | Statement: [Sofiero Palace, ownedBy, City of Helsingborg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Helsingborg Context triple: [Sofiero Palace, ownedBy, City of Helsingborg]
-
A.
Helsingborg, Sweden
chosen
Helsingborg, Sweden is a coastal city in southern Sweden known for its historic architecture, strategic location on the Öresund Strait, and role as a regional commercial and cultural center.
-
B.
Halmstad
Halmstad is a coastal city in southwestern Sweden known for its historic town center, harbor, and role as a strategic site in Scandinavian conflicts.
-
C.
Halmstad
Halmstad is a village in Moss municipality in Viken county, southeastern Norway.
-
D.
Kristianstad
Kristianstad is a historic city in southern Sweden known for its well-preserved Renaissance architecture and proximity to the wetlands of the Kristianstad Vattenrike Biosphere Reserve.
-
E.
Karlsborg
Karlsborg is a small Swedish locality best known for the historic Karlsborg Fortress on the shores of Lake Vättern.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327cea4e481908400b852a5a7032a |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fb40dc08190b9d6a04f3c19f57d |
completed | May 11, 2026, 4:48 a.m. |
Created at: April 10, 2026, 5:09 a.m.