Triple
T31744932
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scotland–Northern Ireland |
E810243
|
entity |
| Predicate | hasApproximateShortestSeaDistance |
P119531
|
FINISHED |
| Object | about 20–25 miles |
—
|
LITERAL 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: about 20–25 miles | Statement: [Scotland–Northern Ireland, hasApproximateShortestSeaDistance, about 20–25 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasApproximateShortestSeaDistance Context triple: [Scotland–Northern Ireland, hasApproximateShortestSeaDistance, about 20–25 miles]
-
A.
shortestDistanceBetweenTerritoriesOf
chosen
Indicates the minimum spatial distance that separates the territories associated with two entities.
-
B.
nearestSea
Indicates that one location is the closest sea to a given place compared to all other seas.
-
C.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
D.
hasCoastlineLengthApprox
Indicates an approximate measurement of the total length of an entity’s coastline.
-
E.
distanceToContinentApproximate
Indicates an approximate measure of how far something is from a specified continent.
- F. None of above.
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_69f348e233cc819083b6695f70cd75d8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fcab6e888881908ca9e18660928a40 |
completed | May 7, 2026, 3:10 p.m. |
| PD | Predicate disambiguation | batch_69fc4562a5b88190bad48f083a6dcdfa |
completed | May 7, 2026, 7:55 a.m. |
Created at: April 30, 2026, 11:26 p.m.