Triple
T8090038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hirsholmene |
E188833
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Store Frederikskob |
E520038
|
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: Store Frederikskob | Statement: [Hirsholmene, hasPart, Store Frederikskob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Store Frederikskob Context triple: [Hirsholmene, hasPart, Store Frederikskob]
-
A.
Valbo Köpcentrum
Valbo Köpcentrum is a major regional shopping mall in Valbo, Sweden, featuring a wide range of retail stores, services, and dining options.
-
B.
Frolands Verk
Frolands Verk is a small village in Froland municipality in Agder county, Norway, historically known for its ironworks and industrial heritage.
-
C.
Frederiksø
chosen
Frederiksø is a small Danish island in the Baltic Sea that, together with Christiansø, forms part of the Ertholmene archipelago known for its historic fortifications and remote setting.
-
D.
Grefsen depot
Grefsen depot is a major tram depot in Oslo, Norway, serving as a key maintenance and storage facility for the city’s tram network.
-
E.
Jessheim Storsenter
Jessheim Storsenter is a large regional shopping mall in Jessheim, Norway, featuring a wide range of retail stores, dining options, and services.
- 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_69cc640a42648190bc1a3072eb338e22 |
completed | April 1, 2026, 12:17 a.m. |
Created at: March 30, 2026, 5:29 p.m.