Triple
T12599307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak XV |
E300813
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Sir George Everest |
E97375
|
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: Sir George Everest | Statement: [Peak XV, namedAfter, Sir George Everest]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sir George Everest Context triple: [Peak XV, namedAfter, Sir George Everest]
-
A.
George Everest
chosen
George Everest was a 19th-century British surveyor and geographer who served as Surveyor General of India and lent his name to Mount Everest.
-
B.
Thomas Roupell Everest
Thomas Roupell Everest was a 19th-century English clergyman and writer, best known today as the father of mathematician and educationalist Mary Everest Boole.
-
C.
Hiram Bond Everest
Hiram Bond Everest was an American businessman and industrialist best known as a pioneering figure in the early petroleum and lubricants industry.
-
D.
Everest
Everest is the codename for the high-performance CPU cores used in Apple’s A16 Bionic chip.
-
E.
Everest
Everest is a 2015 survival drama film that chronicles the harrowing true story of a deadly Mount Everest expedition.
- 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_69d7bdea2ca881908f379526c13b1145 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d954d096d08190afa1f685bad68d35 |
completed | April 10, 2026, 7:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f668679dfc8190ac05eeb200f23985 |
completed | May 2, 2026, 9:11 p.m. |
Created at: April 9, 2026, 5:09 p.m.