Triple
T6510886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madison, Maine |
E150128
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Somerset County region |
E213131
|
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: Somerset County region | Statement: [Madison, Maine, region, Somerset County region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Somerset County region Context triple: [Madison, Maine, region, Somerset County region]
-
A.
Somerset County
Somerset County is a suburban county in central New Jersey known for its residential communities, parks, and commuter access to the New York City metropolitan area.
-
B.
Somerset County
Somerset County is a rural, mountainous county in southwestern Pennsylvania known for its outdoor recreation, wind farms, and historic sites such as the Flight 93 National Memorial.
-
C.
Somerset County
chosen
Somerset County is a largely rural county in central Maine known for its forests, lakes, and outdoor recreation opportunities.
-
D.
Somerset Region
Somerset Region is a rural local government area in South East Queensland, Australia, known for its dams, lakes, and agricultural communities.
-
E.
Somerset
Somerset is a historic county in South West England known for its rural landscapes, coastal areas, and cities such as Bath and Wells.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f3ad7d081909162f1a625fc52b1 |
completed | March 27, 2026, 3:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb5dd5b88190b0928b44ebc91609 |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:43 p.m.