Triple
T354089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York metropolitan area |
E7505
|
entity |
| Predicate | containsCounty |
P5971
|
FINISHED |
| Object | Essex County |
E52037
|
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: Essex County | Statement: [New York metropolitan area, containsCounty, Essex County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essex County Context triple: [New York metropolitan area, containsCounty, Essex County]
-
A.
Essex County
Essex County is a historic coastal county in northeastern Massachusetts that includes cities such as Lynn, Salem, and Lawrence.
-
B.
Suffolk County
Suffolk County is an urban county in eastern Massachusetts that includes the city of Boston and serves as a major political, economic, and cultural hub of the state.
-
C.
Essex County, New Jersey
chosen
Essex County, New Jersey is a densely populated county in the northeastern part of the state that includes major urban centers like Newark and is part of the New York metropolitan area.
-
D.
Essex
Essex is a county in the east of England, known for its mix of rural landscapes, historic towns, and proximity to London.
-
E.
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.
- 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_69a2e7e696948190bebc966535995e45 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eb8312f4819084dc222e665fded3 |
completed | Feb. 28, 2026, 1:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4746825348190892c8f6341796dac |
completed | March 1, 2026, 5:16 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.