Triple
T21778735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A595 |
E537649
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Whitehaven |
—
|
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: Whitehaven | Statement: [A595, connects, Whitehaven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Whitehaven Context triple: [A595, connects, Whitehaven]
-
A.
Whitehaven
chosen
Whitehaven is a coastal town and port on the Irish Sea in northwest England, historically known for its Georgian architecture and maritime and mining heritage.
-
B.
Whitehaven
Whitehaven is a residential neighborhood in South Memphis, Tennessee, best known as the location of Elvis Presley’s Graceland estate.
-
C.
Denholme
Denholme is a small town and civil parish in West Yorkshire, England, situated on the eastern edge of the South Pennines.
-
D.
Haughton
Haughton is the surname of the late American singer and actress Aaliyah, associated with her influential legacy in R&B and pop music.
-
E.
Heworth
Heworth is a suburban area in Tyne and Wear, England, known for its transport interchange that serves as a key local rail and Metro station.
- 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_69e0c470759c819094a215757113562b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0462b094c81908207073c278a58fe |
completed | April 28, 2026, 5:31 a.m. |
Created at: April 16, 2026, 6:52 p.m.