Triple
T904566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clackmannanshire |
E19517
|
entity |
| Predicate | areaRankInScotland |
P1170
|
FINISHED |
| Object | smallest council area by land area |
—
|
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: smallest council area by land area | Statement: [Clackmannanshire, areaRankInScotland, smallest council area by land area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaRankInScotland Context triple: [Clackmannanshire, areaRankInScotland, smallest council area by land area]
-
A.
hasPopulationRankInUK
Indicates the relative position of an entity’s population size compared to other entities within the United Kingdom.
-
B.
areaRank
chosen
Indicates the relative ordering or position of an entity based on the size of its area compared to others.
-
C.
nobleRankInScotland
Indicates that an entity holds or is associated with a specific noble rank within the Scottish system of nobility.
-
D.
distanceFromGlasgow
Indicates the spatial distance separating a given entity or location from Glasgow.
-
E.
mapsToScottishParliamentRegion
Indicates that one entity is assigned or corresponds to a specific Scottish Parliament electoral region.
- 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_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad590d108190b50627e3bba24017 |
completed | March 1, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69a4aa98caec8190bbcc38320090f058 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.