Triple
T3109671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rutland |
E64919
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Rutland County |
E289139
|
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: Rutland County | Statement: [Rutland, locatedIn, Rutland County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rutland County Context triple: [Rutland, locatedIn, Rutland County]
-
A.
Rowan County
Rowan County is a county in North Carolina that lies within the greater Charlotte metropolitan region.
-
B.
Rockingham County
Rockingham County is a county in southeastern New Hampshire that includes coastal communities such as Portsmouth and forms part of the Greater Boston metropolitan area.
-
C.
Cumberland County
Cumberland County is a largely rural county in southern New Jersey known for its agriculture, wetlands, and Delaware Bay shoreline.
-
D.
Rutland County, Vermont
chosen
Rutland County, Vermont is a largely rural county in west-central Vermont known for its historic towns, outdoor recreation, and proximity to the Green Mountains.
-
E.
Bedford County
Bedford County is a county-level jurisdiction in south-central Pennsylvania, known for its rural landscapes, historic sites, and role as a transportation corridor through the 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_69ad857eeaf48190b34ebfdaa7a264cf |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada2a0ab2481908db50738ec3ad0fb |
completed | March 8, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f5cfc7c8190b867794c0e9a271e |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.