Triple
T150418
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Garter Day |
E3417
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Berkshire |
E6585
|
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: Berkshire | Statement: [Garter Day, locatedIn, Berkshire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Berkshire Context triple: [Garter Day, locatedIn, Berkshire]
-
A.
Berkshire County
Berkshire County is a rural, culturally rich county in western Massachusetts known for its scenic Berkshire Mountains, outdoor recreation, and vibrant arts institutions.
-
B.
Hampshire
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.
-
C.
Berkshire, England
chosen
Berkshire, England is a historic county in South East England known for its royal connections, including Windsor Castle, and its picturesque Thames-side towns.
-
D.
The Berkshires
The Berkshires is a rural, mountainous region in western Massachusetts known for its scenic beauty, outdoor recreation, and vibrant arts and cultural institutions.
-
E.
Monmouth
Monmouth is a historic market town in Monmouthshire, Wales, known for its medieval architecture and position near the English border.
- 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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a2580dda148190a522e0ac276d5f33 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a36473a3d88190b20052b2c0d272a2 |
completed | Feb. 28, 2026, 9:56 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.