Triple
T13429495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Windsor |
E313570
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Essex County |
E138819
|
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: [Windsor, partOf, Essex County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Essex County Context triple: [Windsor, partOf, 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.
Essex County
chosen
Essex County is a southwestern Ontario region bordering Lake Erie that includes the southernmost point of mainland Canada and encompasses Point Pelee National Park.
-
C.
Essex County
Essex County is a county in eastern Virginia located along the Rappahannock River, known for its rural character and historic colonial-era roots.
-
D.
Essex County
Essex County is a historic county in the East of England known for its mix of rural landscapes, coastal towns, and significant heritage sites such as Roman and Norman-era structures.
-
E.
Essex County
Essex County is an urban county in northeastern New Jersey known for encompassing the city of Newark and serving as a major residential, commercial, and transportation hub in the New York metropolitan area.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed304ac8190a8021f749de8164c |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398b828c8190a029a5862ae1fded |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:40 p.m.