Triple
T7334427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Resarö |
E169088
|
entity |
| Predicate | nearbyIsland |
P2064
|
FINISHED |
| Object | Rindö |
E166993
|
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: Rindö | Statement: [Resarö, nearbyIsland, Rindö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rindö Context triple: [Resarö, nearbyIsland, Rindö]
-
A.
Rindö
chosen
Rindö is an island in Sweden’s Stockholm archipelago, known for its coastal scenery and strategic location near the town of Vaxholm.
-
B.
Lidingö
Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
-
C.
Resarö
Resarö is an island in the Stockholm archipelago known for its residential communities, natural coastal scenery, and proximity to the city of Stockholm.
-
D.
Skarpö
Skarpö is an island in the Stockholm archipelago of Sweden, situated within Vaxholm Municipality and known for its coastal scenery and residential character.
-
E.
Västerljung
Västerljung is a small locality in eastern Sweden situated within Trosa Municipality in Södermanland County.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0c25758819095aa5041c6ecff07 |
completed | March 27, 2026, 9:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa82498c8190b1898a8c27cec71d |
completed | March 28, 2026, 3:57 p.m. |
Created at: March 27, 2026, 3:04 p.m.