Triple
T3367700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Øresund |
E70875
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Saltholm |
E339945
|
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: Saltholm | Statement: [Øresund, hasIsland, Saltholm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saltholm Context triple: [Øresund, hasIsland, Saltholm]
-
A.
Saltholm
chosen
Saltholm is a low-lying, sparsely inhabited Danish island in the Øresund Strait, known for its extensive wetlands and rich birdlife.
-
B.
Sallands
Sallands is a Dutch Low Saxon dialect spoken in the Salland region of the province of Overijssel in the Netherlands.
-
C.
Stromness
Stromness is a historic harbor town on the southwest coast of Orkney Mainland in Scotland, known for its stone-built waterfront and maritime heritage.
-
D.
Kalsoy
Kalsoy is a narrow, mountainous island in the Faroe Islands known for its dramatic cliffs, scenic hiking trails, and the Kallur Lighthouse overlooking the North Atlantic.
-
E.
Hvalsey
Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2890480819082fe2e3c2874cece |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3343664cc81909793820377b4bdc1 |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:13 p.m.