Triple
T15040405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Söderort |
E378584
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Farsta strand |
E378325
|
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: Farsta strand | Statement: [Söderort, hasPart, Farsta strand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Farsta strand Context triple: [Söderort, hasPart, Farsta strand]
-
A.
Farsta strand
chosen
Farsta strand is a suburban district and metro terminus in southern Stockholm, Sweden, known for its residential areas and public transport connections.
-
B.
Huvudsta Strand
Huvudsta Strand is a waterfront area and street along the shoreline in the Huvudsta district of Solna, just outside central Stockholm, Sweden.
-
C.
Hornbergs strand
Hornbergs strand is a waterfront district on the island of Kungsholmen in central Stockholm, known for its modern residential buildings and promenade along the water.
-
D.
Hovstranda
Hovstranda is a scenic sandy beach on the island of Gimsøya in Norway’s Lofoten archipelago, known for its coastal views and midnight sun.
-
E.
Rognstranda beach
Rognstranda beach is a popular sandy seaside destination in Bamble, Norway, known for its scenic coastline and recreational swimming opportunities.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82e79a481908ddb9609af8c4407 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feae0be8bc81909e1f9ed31bfd76fb |
completed | May 9, 2026, 3:46 a.m. |
Created at: April 10, 2026, 3 a.m.