Triple
T8856098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Åboland |
E210759
|
entity |
| Predicate | hasNameInFinnish |
P23453
|
FINISHED |
| Object |
Turunmaa
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
|
E762585
|
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: Turunmaa | Statement: [Åboland, hasNameInFinnish, Turunmaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Turunmaa Context triple: [Åboland, hasNameInFinnish, Turunmaa]
-
A.
Tutermaa
Tutermaa is a small village located in Harku Parish in northern Estonia.
-
B.
Kallaste
Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
-
C.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Tammneeme
Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
- 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: Turunmaa Triple: [Åboland, hasNameInFinnish, Turunmaa]
Generated description
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Turunmaa Target entity description: Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
-
A.
Tutermaa
Tutermaa is a small village located in Harku Parish in northern Estonia.
-
B.
Kallaste
Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
-
C.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
D.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
E.
Tammneeme
Tammneeme is a coastal village in northern Estonia known for its seaside location on the Viimsi Peninsula near Tallinn.
- 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_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. |
| NEDg | Description generation | batch_69cfa246ade0819097fe80a77f32592b |
completed | April 3, 2026, 11:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa2c4833c8190b67c4545af056292 |
completed | April 3, 2026, 11:21 a.m. |
Created at: March 30, 2026, 6:50 p.m.