Triple
T1014407
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haninge Municipality |
E21897
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Utö |
E125581
|
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: Utö | Statement: [Haninge Municipality, hasIsland, Utö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Utö Context triple: [Haninge Municipality, hasIsland, Utö]
-
A.
Utö
chosen
Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
-
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.
Ornö
Ornö is a large island in the Stockholm archipelago of Sweden, known for its forests, bays, and traditional summer cottages.
-
D.
Öland
Öland is Sweden’s second-largest island, known for its unique limestone plains, rich birdlife, and popular summer tourism along the Baltic Sea coast.
-
E.
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.
- 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7be907c8190b5c6ea89257755a7 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59978cb4819098118b6348b8a55a |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:41 p.m.