Triple
T12978109
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glenn County |
E321581
|
entity |
| Predicate | hasCommunity |
P2605
|
FINISHED |
| Object | Stonyford |
E535282
|
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: Stonyford | Statement: [Glenn County, hasCommunity, Stonyford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stonyford Context triple: [Glenn County, hasCommunity, Stonyford]
-
A.
Stonyford
chosen
Stonyford is a small rural community in Northern California known for its proximity to the Mendocino National Forest and outdoor recreation opportunities.
-
B.
Sharneyford
Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
-
C.
Durford
Durford is a small settlement in West Sussex, England, situated in the countryside near the River Rother.
-
D.
Stakeford
Stakeford is a village in Northumberland, England, situated near the River Wansbeck and forming part of the wider Wansbeck area.
-
E.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e59a4c88190907d05b8d57dae89 |
completed | April 10, 2026, 10:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8f0315c8190aae5908ba65d5867 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 8:38 p.m.