Triple
T19658054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ballingry |
E472000
|
entity |
| Predicate | hasNeighbouringSettlement |
P4647
|
FINISHED |
| Object | Kelty |
—
|
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: Kelty | Statement: [Ballingry, hasNeighbouringSettlement, Kelty]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kelty Context triple: [Ballingry, hasNeighbouringSettlement, Kelty]
-
A.
Kelty
chosen
Kelty is a former coal-mining village in Fife, Scotland, situated near Lochgelly and close to the M90 motorway.
-
B.
Mountain Hardwear
Mountain Hardwear is an outdoor apparel and equipment brand known for its high-performance gear for activities like climbing, backpacking, and alpine expeditions.
-
C.
North Face
North Face is a 2008 German historical adventure film directed by Philipp Stölzl that dramatizes the 1936 attempt to climb the Eiger’s notorious north face.
-
D.
Helly Hansen
Helly Hansen is a Norwegian brand known for its professional-grade outdoor, sailing, and workwear apparel and gear.
-
E.
Black Diamond Equipment
Black Diamond Equipment is an American company that designs and manufactures high-performance climbing, skiing, and mountain sports gear.
- 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e641475f408190bd42ef3f8d590719 |
completed | April 20, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.