Triple
T8443692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Common |
E199613
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Worcester County |
E12044
|
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: Worcester County | Statement: [Upper Common, county, Worcester County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Worcester County Context triple: [Upper Common, county, Worcester County]
-
A.
Worcester County, Massachusetts
chosen
Worcester County, Massachusetts is a large central Massachusetts county that includes the city of Worcester and serves as a key geographic and economic link between the Boston metropolitan area and western New England.
-
B.
Kent County
Kent County is a county in western Michigan that includes the city of Grand Rapids as its county seat and largest urban center.
-
C.
Kent County
Kent County is a historic county in central Delaware, known for its colonial-era settlements and role in the early development of the state.
-
D.
Kent County
Kent County is a sparsely populated rural county in West Texas known for its ranching landscape and small communities.
-
E.
Berkshire County
Berkshire County is a rural, culturally rich county in western Massachusetts known for its scenic Berkshire Mountains, outdoor recreation, and vibrant arts institutions.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe3122cfc8190ac6103fa4e4a7c45 |
completed | March 31, 2026, 3:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce39a951c881909cfa0a35feeb2ee0 |
completed | April 2, 2026, 9:40 a.m. |
Created at: March 30, 2026, 6:08 p.m.