Triple
T23007865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kempele |
E572825
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Liminka |
—
|
NE NERFINISHED |
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: Liminka | Statement: [Kempele, neighboringMunicipality, Liminka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liminka Context triple: [Kempele, neighboringMunicipality, Liminka]
-
A.
Liminka
chosen
Liminka is a municipality in Northern Ostrobothnia, Finland, known for its rural landscapes and bird-rich Liminka Bay wetland area.
-
B.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
-
C.
Timka
Timka is a Russian diminutive form of the male given name Timofey, typically used as an affectionate nickname.
-
D.
Tivissa
Tivissa is a historic village in Catalonia, Spain, known for its scenic setting among the mountains of the Ribera d’Ebre region and its well-preserved medieval core.
-
E.
Liakhvi
Liakhvi is a river in central Georgia that flows through the South Ossetia region before joining the Kura River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b764cc8190a51be76f1d9611e1 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835802a881908fe817c3fa728a82 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.