Triple
T16903741
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sør-Varanger |
E424503
|
entity |
| Predicate | bordersMunicipality |
P224
|
FINISHED |
| Object | Inari |
E368739
|
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: Inari | Statement: [Sør-Varanger, bordersMunicipality, Inari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inari Context triple: [Sør-Varanger, bordersMunicipality, Inari]
-
A.
Inari
Inari is a major Shinto kami associated primarily with rice, agriculture, prosperity, and fox spirits in Japan.
-
B.
Kurikka
Kurikka is a municipality in the South Ostrobothnia region of western Finland, known for its rural landscapes and agricultural traditions.
-
C.
Inari Kunate
Inari Kunate was the principal wife of Mansa Musa, the famed 14th-century emperor of the Mali Empire.
-
D.
Keuruu
Keuruu is a town and municipality in the Central Finland region, known for its lakeside landscapes and historic wooden church.
-
E.
Inari, Finland
chosen
Inari is a large municipality in northern Finnish Lapland known for its significant Sámi population, cultural institutions, and vast wilderness areas.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3c8de3070819085bfe9696bc887ea |
completed | April 18, 2026, 6:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7b47a6081909d8609c2bce96d1a |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.