Triple
T8090048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirsholmene |
E188833
|
entity |
| Predicate | humanSettlement |
P16159
|
FINISHED |
| Object | Hirsholm |
E711359
|
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: Hirsholm | Statement: [Hirsholmene, humanSettlement, Hirsholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hirsholm Context triple: [Hirsholmene, humanSettlement, Hirsholm]
-
A.
Hirsholm
chosen
Hirsholm is a small Danish island in the Kattegat Sea, known for its protected nature reserve and seabird colonies.
-
B.
Merrild
Merrild is a coffee brand and company known primarily in Northern Europe, offering a range of ground and whole-bean coffees.
-
C.
Haslum
Haslum is a suburban area in Bærum, Norway, known for its residential neighborhoods and proximity to Oslo.
-
D.
Holmen
Holmen is a residential neighborhood in Oslo, Norway, known for its green surroundings and location within the borough of Vestre Aker.
-
E.
Nørholm
Nørholm is a historic estate in southern Norway best known as the longtime home of Nobel Prize–winning author Knut Hamsun (born Knut Pedersen).
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb421e30e88190b9699b338b69b81c |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc93f6eb9c8190b33210621d215d56 |
completed | April 1, 2026, 3:41 a.m. |
Created at: March 30, 2026, 5:29 p.m.