Triple
T10642918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Finno-Ugric peoples |
E250767
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Finns |
E40747
|
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: Finns | Statement: [Finno-Ugric peoples, hasMember, Finns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finns Context triple: [Finno-Ugric peoples, hasMember, Finns]
-
A.
Finns
chosen
Finns are a Northern European ethnic group native to Finland, known for their distinct Finno-Ugric language, rich cultural traditions, and high standard of living.
-
B.
Finfinne
Finfinne is the Oromo name for Addis Ababa, the capital and largest city of Ethiopia.
-
C.
Forlandet
Forlandet is a long, narrow island off the west coast of Spitsbergen in the Svalbard archipelago, known for its protected wilderness and rich Arctic wildlife.
-
D.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
-
E.
Fåker
Fåker is a small village in central Sweden located within Östersund Municipality in Jämtland County.
- 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_69d6aa5a4c4881908f39be6efe5981e5 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d6dfcf65fc81909a0c86daefaab1ab |
completed | April 8, 2026, 11:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d97a4555e48190be39c0a7698b4282 |
completed | April 10, 2026, 10:31 p.m. |
Created at: April 8, 2026, 9:05 p.m.