Triple
T20991873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Street |
E517044
|
entity |
| Predicate | hasNearbyFell |
P26475
|
FINISHED |
| Object | Kidsty Pike |
—
|
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: Kidsty Pike | Statement: [High Street, hasNearbyFell, Kidsty Pike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kidsty Pike Context triple: [High Street, hasNearbyFell, Kidsty Pike]
-
A.
Kidsty Pike
chosen
Kidsty Pike is a prominent fell in the Lake District’s Far Eastern Fells, known for its sharp summit and dramatic views over Haweswater.
-
B.
Nu-Pike
Nu-Pike was a historic seaside amusement park in Long Beach, California, known for its classic rides, arcades, and boardwalk attractions during much of the 20th century.
-
C.
Mallory Pike
Mallory Pike is a bookish, aspiring writer and junior member of the Baby-Sitters Club in Ann M. Martin’s popular children’s book series.
-
D.
Buster Hill
Buster Hill is a prominent chalk hill in Hampshire, England, known for its expansive views and status as one of the highest points in the South Downs.
-
E.
Twist Mountain
Twist Mountain is a large, maze-like mining mountain and cave complex featured as a major explorable area in the Unova region of the Pokémon games.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc1cbb10819089e4f1445b921946 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:50 p.m.