Triple
T12001434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Ostrobothnia |
E285671
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Teuva |
E844832
|
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: Teuva | Statement: [South Ostrobothnia, containsMunicipality, Teuva]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Teuva Context triple: [South Ostrobothnia, containsMunicipality, Teuva]
-
A.
Teuva
chosen
Teuva is a small rural municipality in western Finland known for its agricultural landscape and traditional Finnish countryside culture.
-
B.
Teves
Teves is an alternative Ashkenazi transliteration of the Hebrew month name Tevet, used in the Jewish calendar.
-
C.
Tengbom
Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
-
D.
Arestrup
Arestrup is a Danish-origin surname most notably borne by acclaimed French actor and screenwriter Niels Arestrup.
-
E.
Nister
The Nister is a river in western Germany, known as a scenic tributary of the Sieg that flows through the Westerwald region.
- 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_69d6ab45a368819084fce08bf0dc3705 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903c36b248190b446b17def94885b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4729eb4a081909d93b3fc74509d86 |
completed | May 1, 2026, 9:30 a.m. |
Created at: April 8, 2026, 9:46 p.m.