Triple
T20137637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harju maakond |
E491063
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Järva maakond |
—
|
NE NERFINISHED |
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: Järva maakond | Statement: [Harju maakond, borders, Järva maakond]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Järva maakond Context triple: [Harju maakond, borders, Järva maakond]
-
A.
Harju maakond
Harju maakond is a county in northern Estonia that includes the nation’s capital city, Tallinn, and serves as the country’s most populous and economically significant region.
-
B.
Võru County
Võru County is a rural region in southeastern Estonia known for its distinct South Estonian (Võro) linguistic and cultural heritage.
-
C.
Järva County
chosen
Järva County is a historical and administrative region in central Estonia known for its rural landscapes and small towns.
-
D.
Tartu County
Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
-
E.
Virumaa
Virumaa is a historical region in northern Estonia, known for its medieval heritage, coastal landscapes, and role as one of the country’s traditional cultural provinces.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e6676879f48190a59da04393d2a8cc |
completed | April 20, 2026, 5:50 p.m. |
Created at: April 11, 2026, 11:32 p.m.