Triple
T6791304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Inkeri |
E155937
|
entity |
| Predicate | ethnicallyRelatedTo |
P1969
|
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: [Inkeri, ethnicallyRelatedTo, Finns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Finns Context triple: [Inkeri, ethnicallyRelatedTo, 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.
Estyn
Estyn is the education and training inspectorate for Wales, responsible for evaluating the quality and standards of schools, colleges, and other learning providers.
-
D.
Farsta
Farsta is a suburban district in southern Stockholm, Sweden, known for its residential areas, shopping center, and metro connections to the city center.
-
E.
Falk
Falk is a surname most famously associated with American actor Peter Falk, best known for his role as the television detective Columbo.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2acbfc0819081f2d6cebfb91765 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a8c445c8190abea97a04d648f52 |
completed | March 28, 2026, 12:02 a.m. |
Created at: March 27, 2026, 2:15 p.m.