Triple
T14895986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olonets Karelian |
E359876
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Ludic Karelian |
E72966
|
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: Ludic Karelian | Statement: [Olonets Karelian, closelyRelatedTo, Ludic Karelian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludic Karelian Context triple: [Olonets Karelian, closelyRelatedTo, Ludic Karelian]
-
A.
Kuron
Kuron is an alternative name for the Kulon language, a lesser-known Austronesian language of Indonesia.
-
B.
Lalkurti
Lalkurti is a historic residential and commercial neighborhood in Rawalpindi, Pakistan, known for its colonial-era origins and proximity to the city’s main cantonment area.
-
C.
Meänkieli
Meänkieli is a Finnic minority language closely related to Finnish, traditionally spoken by the Tornedalian people in northern Sweden.
-
D.
Karelian language
chosen
The Karelian language is a Uralic language closely related to Finnish, traditionally spoken by the Karelian people in parts of Finland and northwestern Russia.
-
E.
Kodava language
Kodava language is a Dravidian language spoken primarily by the Kodava (Coorg) community in the Kodagu district of Karnataka, India.
- 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_69d827980cbc8190a0c569ae3940a1d9 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69ded6070b248190be8f4f91a0c0b1f3 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b679fb081908cf8f41acfba3b99 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 10, 2026, 2:10 a.m.