Triple
T8856084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åboland |
E210759
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object | Houtskär |
E745231
|
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: Houtskär | Statement: [Åboland, containsSettlement, Houtskär]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Houtskär Context triple: [Åboland, containsSettlement, Houtskär]
-
A.
Houtskär
chosen
Houtskär is an island and former municipality in the Turku Archipelago of southwest Finland, known for its rugged coastal scenery and traditional Finnish-Swedish island culture.
-
B.
Skutskär
Skutskär is a locality in Uppsala County, Sweden, known historically for its pulp and paper industry.
-
C.
Sandholmen
Sandholmen is an island within Finland’s Pellinge archipelago, known for its coastal nature and maritime surroundings.
-
D.
Nakkholmen
Nakkholmen is a small inhabited island known for its traditional wooden cabins and recreational use, located in the Oslofjord near Oslo, Norway.
-
E.
Skärholmen
Skärholmen is a suburban district in southwestern Stockholm, Sweden, known for its large shopping center and residential areas.
- 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_69ca838a424c8190b1ecac115c2927e7 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60c7f51881909c847989f31f203a |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa09e6d388190ba8f5d8516b43bc4 |
completed | April 3, 2026, 11:12 a.m. |
Created at: March 30, 2026, 6:50 p.m.