Triple
T19558941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chirnside |
E489390
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Borders |
—
|
NE NERFINISHED |
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: Borders | Statement: [Chirnside, region, Borders]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Borders Context triple: [Chirnside, region, Borders]
-
A.
Borders
Borders is a surname of English origin borne by various individuals, including the former professional baseball player Pat Borders.
-
B.
Borders
"Borders" is a politically charged 2015 song by British-Sri Lankan artist M.I.A. that critiques global immigration policies and the treatment of refugees.
-
C.
Borders
Borders was a major American bookstore chain known for its large retail locations offering extensive selections of books, music, and media before its closure in the early 2010s.
-
D.
Borders
chosen
Borders is a rural region in southern Scotland known for its rolling hills, historic abbeys, and small market towns near the English border.
-
E.
Border
Border is a surname most famously associated with Allan Border, the former Australian cricket captain and prolific batsman.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f723d5081909553a4363b579a6b |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.