Triple
T5394864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pollen harbor area |
E120626
|
entity |
| Predicate | hasViewOf |
P854
|
FINISHED |
| Object | Arendal waterfront |
E22542
|
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: Arendal waterfront | Statement: [Pollen harbor area, hasViewOf, Arendal waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arendal waterfront Context triple: [Pollen harbor area, hasViewOf, Arendal waterfront]
-
A.
Arendal
chosen
Arendal is a coastal town and municipality in southern Norway known historically as a regional political and trading center.
-
B.
Ulriksdal
Ulriksdal is a district in Solna, Sweden, known for the historic Ulriksdal Palace and its surrounding parklands along the Edsviken inlet.
-
C.
Tønsberg harbor
Tønsberg harbor is a historic waterfront area in Norway’s oldest town, known for its marina, coastal views, and vibrant mix of maritime, cultural, and leisure activities.
-
D.
Skudeneshavn
Skudeneshavn is a historic coastal town in southwestern Norway known for its well-preserved wooden architecture and maritime heritage.
-
E.
Lyngseidet
Lyngseidet is a small coastal village in northern Norway, known for its scenic fjord and mountain surroundings on the Lyngen Peninsula.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd87441a208190b79561614759894b |
completed | March 20, 2026, 5:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf411d608c8190a672e336e6f3954d |
completed | March 22, 2026, 1:08 a.m. |
Created at: March 20, 2026, 2:04 p.m.