Triple
T81203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Down House, Downe, Kent |
E1629
|
entity |
| Predicate | historicalCounty |
P1069
|
FINISHED |
| Object | Kent |
E5977
|
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: Kent | Statement: [Down House, Downe, Kent, historicalCounty, Kent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kent Context triple: [Down House, Downe, Kent, historicalCounty, Kent]
-
A.
Kent
chosen
Kent is a county in southeastern England known for its historic towns, coastal landscapes, and nickname "the Garden of England."
-
B.
Manchester
Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
-
C.
Clark
Clark is the middle name of Herbert Hoover, the 31st president of the United States.
-
D.
Douglas
Douglas is a masculine given name of Scottish origin that has been widely used in English-speaking countries.
-
E.
Surrey
Surrey is a county in southeast England known for its historic towns, affluent suburbs, and proximity to London.
- 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_69a24c60d19c8190a1b6c105ca59ef5b |
completed | Feb. 28, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69a24f354d088190972791051d2d99f8 |
completed | Feb. 28, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a25abdf36c819087c4be57bd8ce8c5 |
completed | Feb. 28, 2026, 3:02 a.m. |
Created at: Feb. 28, 2026, 2:06 a.m.