Triple
T16046290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lymington River |
E389228
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Hampshire County |
E16510
|
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: Hampshire County | Statement: [Lymington River, locatedIn, Hampshire County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hampshire County Context triple: [Lymington River, locatedIn, Hampshire County]
-
A.
Hampshire County
Hampshire County is a county in western Massachusetts known for its college towns, including Amherst and Northampton, and its vibrant academic and cultural communities.
-
B.
Hampshire County
Hampshire County is a county in the Eastern Panhandle of West Virginia known for its rural Appalachian landscape, small towns, and historic transportation routes.
-
C.
Hampshire
chosen
Hampshire is a county on England’s south coast known for its historic cities, naval and military heritage, and mix of rural countryside and coastal areas.
-
D.
Hampshire
Hampshire is a rural locality in the north-west of Tasmania, Australia, known for its forestry and agricultural activities.
-
E.
Norfolk County
Norfolk County is a county in eastern Massachusetts that includes a mix of suburban communities and key urban institutions just outside Boston.
- 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_69d86dae698881908327ef2d67706cb9 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1835dd9a0819087e362cf5770232a |
completed | April 17, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ef00548190b802b4aaba907aa2 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 4:56 a.m.