Triple
T8881976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upinniemi naval base |
E211432
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Upinniemi |
E211432
|
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: Upinniemi | Statement: [Upinniemi naval base, locatedIn, Upinniemi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upinniemi Context triple: [Upinniemi naval base, locatedIn, Upinniemi]
-
A.
Upinniemi
chosen
Upinniemi is a coastal area in southern Finland known for hosting one of the main naval bases of the Finnish Navy.
-
B.
Heino
Heino is a German schlager singer known for his deep bass voice, trademark dark sunglasses, and popular folk and pop songs since the 1960s.
-
C.
Heino
Heino is a village in the Dutch province of Overijssel, known for its rural character and proximity to the city of Zwolle.
-
D.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
E.
Pöytyä
Pöytyä is a rural municipality in southwestern Finland known for its forests, agriculture, and small village communities.
- 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_69ca838f9e20819096ab1f236a70381a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc616a01f48190b8bbde0e898a38c7 |
completed | April 1, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfabca74888190934593d6504fbed1 |
completed | April 3, 2026, noon |
Created at: March 30, 2026, 6:53 p.m.