Triple
T32973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magna Carta |
E658
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Surrey |
E2921
|
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: Surrey | Statement: [Magna Carta, locatedIn, Surrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Surrey Context triple: [Magna Carta, locatedIn, Surrey]
-
A.
Surrey
chosen
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
-
B.
Buckinghamshire
Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
-
C.
Berkshire, England
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.
Gloucester
Gloucester is a historic coastal city in northeastern Massachusetts known for its long-standing fishing industry and maritime heritage.
-
E.
Cambridgeshire, England
Cambridgeshire, England is a historic county in eastern England known for its rural landscapes and as the home of the prestigious University of Cambridge.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2487952bc8190a94ce39c70799c70 |
completed | Feb. 28, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bfc4004819082a8e0a7885865e1 |
completed | Feb. 28, 2026, 5:24 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.