Triple
T4113689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turku |
E90238
|
entity |
| Predicate | hasSwedishName |
P11737
|
FINISHED |
| Object | Åbo |
E90238
|
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: Åbo | Statement: [Turku, hasSwedishName, Åbo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Åbo Context triple: [Turku, hasSwedishName, Åbo]
-
A.
Vaasa
Vaasa is a coastal city in western Finland known for its maritime heritage, bilingual Finnish-Swedish culture, and role as a regional economic and educational center.
-
B.
Turku
chosen
Turku is one of Finland’s oldest and historically most important cities, located on the southwest coast and known for its medieval heritage and major Baltic Sea port.
-
C.
Jakobstad
Jakobstad is a coastal town and municipality in western Finland known for its bilingual (Finnish and Swedish) heritage and maritime history.
-
D.
Sundsvall
Sundsvall is a coastal city in central Sweden known as an important industrial and commercial center on the Gulf of Bothnia.
-
E.
Umeå
Umeå is a university city in northern Sweden known for its cultural scene, research institutions, and role as a regional economic hub.
- 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_69aed95c080881908125e30c5dcdc6f8 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01e06ce48190b840d931e44095ea |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b8e30448190a1ac0df969c83631 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.