Triple
T6305057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gudhjem |
E141353
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Gudhjem smokehouses |
E141353
|
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: Gudhjem smokehouses | Statement: [Gudhjem, hasTouristAttraction, Gudhjem smokehouses]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gudhjem smokehouses Context triple: [Gudhjem, hasTouristAttraction, Gudhjem smokehouses]
-
A.
Gudhjem
chosen
Gudhjem is a picturesque coastal village on the Danish island of Bornholm, known for its steep streets, red-roofed houses, and harbor overlooking the Baltic Sea.
-
B.
Mjølhus
Mjølhus is a small settlement located within the municipality of Froland in Agder county, Norway.
-
C.
Gamlebyen
Gamlebyen is the historic Old Town area of Oslo, known as the city's medieval core with archaeological sites, ruins, and preserved heritage buildings.
-
D.
Humlegården
Humlegården is a large historic park in central Stockholm known for its green spaces, walking paths, and recreational areas.
-
E.
Haugen farm
Haugen farm is the Norwegian site where the historic Tune Viking ship was unearthed.
- 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_69c008cf0ad4819095def81e2bd42f9f |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0645f26a881909d5746151c0843cc |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e44527488190b3d605e917c8dfb2 |
completed | March 27, 2026, 1:58 a.m. |
Created at: March 22, 2026, 4:28 p.m.