Triple
T21288368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sca Fell |
E524720
|
entity |
| Predicate | hasRoute |
P4374
|
FINISHED |
| Object | Broad Stand |
—
|
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: Broad Stand | Statement: [Sca Fell, hasRoute, Broad Stand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Broad Stand Context triple: [Sca Fell, hasRoute, Broad Stand]
-
A.
Broad Stand
chosen
Broad Stand is a notorious rocky step and scrambling route on the slopes of Scafell in the Lake District, known for its exposure and accident history.
-
B.
North Stand
North Stand is a spectator seating section at Fratton Park, the historic home stadium of Portsmouth Football Club in England.
-
C.
North Stand
North Stand is a spectator seating section within Windsor Park stadium, typically used by fans attending football and other sporting events.
-
D.
North Stand
North Stand is a spectator seating section within the Halliwell Jones Stadium, home of the Warrington Wolves rugby league club.
-
E.
North Stand
The North Stand is a spectator seating section within Falkirk Stadium, used by fans attending football matches and other events.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736d7c57c8190bc4180ea590a62d4 |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:03 p.m.