Triple
T23318137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vaxholmen |
E590767
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Vaxön |
—
|
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: Vaxön | Statement: [Vaxholmen, locatedNear, Vaxön]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaxön Context triple: [Vaxholmen, locatedNear, Vaxön]
-
A.
Vaxön
chosen
Vaxön is a central island in Sweden’s Stockholm archipelago that forms the core of the town of Vaxholm and serves as an important hub for local ferry and coastal traffic.
-
B.
Vasön
Vasön is a small village in the municipality of Pfäfers in the canton of St. Gallen, Switzerland, known for its scenic Alpine setting.
-
C.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
-
D.
Vágar
Vágar is one of the main islands of the Faroe Islands, known for hosting the archipelago’s only airport and serving as a key transport hub.
-
E.
Frövi
Frövi is a small locality in central Sweden known historically as a railway junction and industrial community.
- 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_69e25d1d32188190948eb76909d1dcc3 |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978372948190bad066893c4e0768 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.