Triple
T1014381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haninge Municipality |
E21897
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Dalarö
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
|
E131378
|
NE FINISHED |
How this triple was built (4 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: Dalarö | Statement: [Haninge Municipality, containsSettlement, Dalarö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalarö Context triple: [Haninge Municipality, containsSettlement, Dalarö]
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Utö
Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
-
E.
Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalarö Triple: [Haninge Municipality, containsSettlement, Dalarö]
Generated description
Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalarö Target entity description: Dalarö is a historic coastal village in the Stockholm archipelago of Sweden, known as a seaside resort and gateway to nearby islands.
-
A.
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.
-
B.
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.
-
C.
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.
-
D.
Utö
Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
-
E.
Fløya
Fløya is a Norwegian women's football club based in Tromsø that competes in the country's league system.
- F. None of above. chosen
Provenance (5 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_69ac5e9d99f08190ad72bdb3ab555fec |
completed | March 7, 2026, 5:21 p.m. |
| NEDg | Description generation | batch_69ac5f248db081908596810839ee6160 |
completed | March 7, 2026, 5:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5fb242488190bf99f63956aeda13 |
completed | March 7, 2026, 5:26 p.m. |
Created at: March 1, 2026, 7:41 p.m.