Triple
T21510103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vagnhärad |
E530693
|
entity |
| Predicate | nearbyLocality |
P4647
|
FINISHED |
| Object | Västerljung |
—
|
NE NERFINISHED |
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: Västerljung | Statement: [Vagnhärad, nearbyLocality, Västerljung]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Västerljung Context triple: [Vagnhärad, nearbyLocality, Västerljung]
-
A.
Västerljung
chosen
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
B.
Österskär
Österskär is a coastal locality in Österåker Municipality, Sweden, known as a residential seaside area within the Stockholm archipelago.
-
C.
Marstrandsön
Marstrandsön is a Swedish island on the west coast known for the historic fortress town of Marstrand, sailing events, and scenic coastal landscapes.
-
D.
Adelsö
Adelsö is an island in Sweden’s Lake Mälaren known for its rich Viking Age history and archaeological sites.
-
E.
Skarpö
Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45c81f08190a6b8bbb70a45aae7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea84dfbc8190a23d9a7d6eb2c2b5 |
completed | April 23, 2026, 9:46 a.m. |
Created at: April 16, 2026, 6:25 p.m.