Triple
T15372952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulgi dialect |
E367594
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Mulgimaa |
E789702
|
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: Mulgimaa | Statement: [Mulgi dialect, region, Mulgimaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mulgimaa Context triple: [Mulgi dialect, region, Mulgimaa]
-
A.
Mulgimaa
chosen
Mulgimaa is a historic cultural region in southern Estonia known for its distinct Mulgi dialect, traditional folk culture, and influential role in Estonian national awakening.
-
B.
Mulk
Mulk is the name of one of the nineteen months in the Badíʻ (Baháʼí) calendar, associated with the concept of dominion or sovereignty.
-
C.
Tartumaa
Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
-
D.
Heidiland
Heidiland is a popular Swiss tourist region in Eastern Switzerland, known for its alpine landscapes and associations with Johanna Spyri’s "Heidi" stories.
-
E.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e5c1d548190930bfaf0861595ae |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b528f408190b66d3d6e10e90a43 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.