Triple
T3119161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Settle |
E65136
|
entity |
| Predicate | hasNearbyAttraction |
P2064
|
FINISHED |
| Object | Ingleborough |
E197000
|
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: Ingleborough | Statement: [Settle, hasNearbyAttraction, Ingleborough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ingleborough Context triple: [Settle, hasNearbyAttraction, Ingleborough]
-
A.
Ingleborough
chosen
Ingleborough is a prominent limestone mountain in the Yorkshire Dales, known as one of the Yorkshire Three Peaks and a popular destination for hikers and cavers.
-
B.
Cross Fell
Cross Fell is a prominent mountain in northern England known for its harsh weather conditions and expansive views over the surrounding Pennine landscape.
-
C.
Helvellyn
Helvellyn is a prominent mountain in England’s Lake District, renowned for its dramatic ridges, scenic views, and popularity with hikers and climbers.
-
D.
Coniston Fells
Coniston Fells is a rugged group of mountains in the Lake District of northwest England, known for peaks like the Old Man of Coniston and popular hiking and climbing routes.
-
E.
Skiddaw
Skiddaw is a prominent mountain in England’s Lake District, known for its rounded summit and popularity with walkers.
- 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_69ad857fcc088190b0c4d45a5cde6f61 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada4e975f08190a91a01f37a31b766 |
completed | March 8, 2026, 4:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f63f8f881909348d4c6eb3c7e20 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:04 p.m.