Triple
T25270572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunmail Raise |
E633555
|
entity |
| Predicate | closestSettlementSouth |
P158797
|
FINISHED |
| Object | Grasmere village |
—
|
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: Grasmere village | Statement: [Dunmail Raise, closestSettlementSouth, Grasmere village]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestSettlementSouth Context triple: [Dunmail Raise, closestSettlementSouth, Grasmere village]
-
A.
closestSettlementNorth
Indicates that one settlement is the nearest settlement located to the north of another settlement.
-
B.
nearestCitySouth
Indicates that one city is the closest city located to the south of another city.
-
C.
nearbyTownSouth
Indicates that one town is located to the south and in close proximity to another town.
-
D.
closestTownOnWest
Indicates that one town is the nearest town located to the west of another specified place.
-
E.
hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
- F. None of above. chosen
Provenance (4 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_69e75a92f48881909974ff9c11150a2e |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48ba1a1f88190b3db79ec06bfa994 |
completed | May 1, 2026, 11:16 a.m. |
| PD | Predicate disambiguation | batch_69f4806d93dc8190b9dff4c63186faff |
completed | May 1, 2026, 10:29 a.m. |
| PDg | Predicate description generation | batch_69f48b9058d081908ec9af261ee092e2 |
completed | May 1, 2026, 11:16 a.m. |
Created at: April 21, 2026, 1:16 p.m.