Triple
T4872390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saltsjön |
E109114
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Stockholm harbor area |
E378962
|
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: Stockholm harbor area | Statement: [Saltsjön, hasPart, Stockholm harbor area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stockholm harbor area Context triple: [Saltsjön, hasPart, Stockholm harbor area]
-
A.
Stockholm Värtahamnen
chosen
Stockholm Värtahamnen is a major ferry and cargo terminal area in northeastern central Stockholm, serving both domestic and international maritime traffic.
-
B.
Lindholmen
Lindholmen is a small locality in Vallentuna Municipality in Stockholm County, Sweden, known for its residential character and proximity to natural and historical sites.
-
C.
Lindholmen
Lindholmen is a waterfront district in Gothenburg, Sweden, known as a major hub for education, research, and technology companies.
-
D.
Södertörn
Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
-
E.
Storholmen
Storholmen is an island located in Lake Femunden, one of Norway’s largest inland lakes.
- 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_69bd440d96a48190b0c87069adef2af1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d9e27908190a0c4540ee2559c4b |
completed | March 20, 2026, 3:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be67f1ca1881909a7412087fa0efab |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:27 p.m.