Triple
T8309536
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pärnu River |
E194554
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Rapla County |
E503265
|
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: Rapla County | Statement: [Pärnu River, region, Rapla County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rapla County Context triple: [Pärnu River, region, Rapla County]
-
A.
Rapla County
chosen
Rapla County is a rural administrative region in northwestern Estonia known for its forests, agriculture, and small towns.
-
B.
McIntosh County
McIntosh County is a coastal county in southeastern Georgia known for its marshlands, historic communities, and location along the Atlantic Intracoastal Waterway.
-
C.
Wilkes County
Wilkes County is a largely rural county in northwestern North Carolina known for its mountainous terrain, outdoor recreation, and role as a gateway to the Blue Ridge Mountains.
-
D.
Emanuel County
Emanuel County is a rural county in east-central Georgia, United States, known for its agricultural economy and small-town communities.
-
E.
Rabun County
Rabun County is a mountainous county in northeastern Georgia known for its scenic landscapes, outdoor recreation, and location in the southern Appalachian region.
- 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_69ca82e613e88190bf8139669bbd0d53 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7f2d2c30819095075940479b75a7 |
completed | March 31, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde77d43cc8190ad18e932d9230e5c |
completed | April 2, 2026, 3:50 a.m. |
Created at: March 30, 2026, 5:54 p.m.