Triple
T6484414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sir John Hoddinott |
E146472
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | Hampshire |
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 | Statement: [Sir John Hoddinott, workLocation, Hampshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hampshire Context triple: [Sir John Hoddinott, workLocation, Hampshire]
-
A.
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.
-
B.
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.
-
C.
Hampshire Avon
Hampshire Avon is a river in southern England that flows through Wiltshire, Dorset, and Hampshire before emptying into the English Channel at Christchurch.
-
D.
Sussex
Sussex is a traditional British dual-purpose chicken breed valued for both its meat and egg production.
-
E.
Sussex
Sussex is a historic county in South East England, known for its coastal resorts, rolling South Downs, and rich medieval and maritime heritage.
- 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_69c0090158c08190af0df9a2348d2d52 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06a6de31c81909dd99d105f5bb4c2 |
completed | March 22, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c67c3b6cdc8190ad9e10957e301a57 |
completed | March 27, 2026, 12:46 p.m. |
Created at: March 22, 2026, 4:52 p.m.