Triple
T9064232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egentliga Finland |
E217202
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object | Somero |
E212938
|
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: Somero | Statement: [Egentliga Finland, containsMunicipality, Somero]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somero Context triple: [Egentliga Finland, containsMunicipality, Somero]
-
A.
Somero
chosen
Somero is a small town and municipality in southwestern Finland known for its rural landscapes and agricultural heritage.
-
B.
Gorie
Gorie is a small settlement located near Cullingsburgh in the Shetland Islands of Scotland.
-
C.
Tomia
Tomia is an island in Indonesia’s Wakatobi archipelago, renowned for its pristine coral reefs and exceptional scuba diving and snorkeling sites.
-
D.
Biei
Biei is a picturesque rural town in Hokkaido, Japan, famed for its rolling patchwork hills, flower fields, and scenic landscapes that attract photographers and tourists year-round.
-
E.
Nasuno
Nasuno is a Japanese Shinkansen train service that operates on the Tōhoku Shinkansen line, primarily providing all-stations or local high-speed service in the northern Kanto and southern Tōhoku regions.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc94bb26588190b7d6f2d70819e86f |
completed | April 1, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d01798a79081909885a8e61bf04dc3 |
completed | April 3, 2026, 7:40 p.m. |
Created at: March 30, 2026, 7:11 p.m.