Triple
T13954630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Littondale |
E335622
|
entity |
| Predicate | hasRoadAccessFrom |
P22549
|
FINISHED |
| Object | Kilnsey |
E1071313
|
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: Kilnsey | Statement: [Littondale, hasRoadAccessFrom, Kilnsey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kilnsey Context triple: [Littondale, hasRoadAccessFrom, Kilnsey]
-
A.
Kilnsey
chosen
Kilnsey is a small rural village in the Yorkshire Dales of northern England, known for its dramatic limestone crag and scenic countryside.
-
B.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
-
C.
Kingdale
Kingdale is a small community located within the Township of King in Ontario, Canada.
-
D.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
E.
Ketcham
Ketcham is a supporting character in the 1970 Western film "Rio Lobo," which stars John Wayne.
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8c06ec8190a6dfceab55da5b30 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:17 p.m.