Triple
T1014409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haninge Municipality |
E21897
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Muskö |
E133949
|
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: Muskö | Statement: [Haninge Municipality, hasIsland, Muskö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muskö Context triple: [Haninge Municipality, hasIsland, Muskö]
-
A.
Muskö
chosen
Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
-
B.
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.
-
C.
Brunnsviken
Brunnsviken is a scenic bay in the Stockholm area of Sweden, known for its surrounding parks, recreational areas, and cultural landmarks.
-
D.
Järla Sjö
Järla Sjö is a lake and residential area in the eastern suburbs of Stockholm, Sweden, known for its scenic waterfront setting within Nacka.
-
E.
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
- 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_69ac763582c48190bcf038162a1dea1c |
completed | March 7, 2026, 7:02 p.m. |
Created at: March 1, 2026, 7:41 p.m.