Triple
T22228722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newlands Valley |
E549411
|
entity |
| Predicate | surroundedByFell |
P7850
|
FINISHED |
| Object | High Spy |
—
|
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: High Spy | Statement: [Newlands Valley, surroundedByFell, High Spy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: High Spy Context triple: [Newlands Valley, surroundedByFell, High Spy]
-
A.
High Spy
chosen
High Spy is a prominent fell in England’s Lake District, forming part of the rugged ridge between Borrowdale and Newlands Valley and offering extensive views over the surrounding Cumbrian landscape.
-
B.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
-
C.
The Spy
The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
-
D.
SPY
SPY is the SPDR S&P 500 ETF, a widely traded fund that tracks the performance of the S&P 500 stock market index.
-
E.
My Spy
My Spy is a 2020 action-comedy film in which Dave Bautista plays a tough CIA operative who unexpectedly becomes the guardian and mentor of a precocious young girl.
- 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_69e11e403d6481909a94d0aaf157f6ef |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12bf0a03c8190ac4717cce902b2cd |
completed | April 28, 2026, 9:51 p.m. |
Created at: April 16, 2026, 8:37 p.m.