Triple
T14688664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The North |
E344978
|
entity |
| Predicate | areaComparison |
P100119
|
FINISHED |
| Object | largest of the Seven Kingdoms 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: largest of the Seven Kingdoms by land area | Statement: [The North, areaComparison, largest of the Seven Kingdoms by land area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: areaComparison Context triple: [The North, areaComparison, largest of the Seven Kingdoms by land area]
-
A.
scaleComparison
Indicates a relationship where two or more entities are compared in terms of their size, magnitude, or scale relative to one another.
-
B.
regionComparedTo
chosen
Indicates a comparative relationship between two regions, specifying how one region differs from or relates to the other along a particular dimension (e.g., size, value, or status).
-
C.
areaScale
Indicates a proportional relationship where one area value is a scaled (enlarged or reduced) version of another by a specific factor.
-
D.
area
Indicates that one entity has a measured two-dimensional extent or surface size quantified by another entity.
-
E.
areaApprox
Indicates that one entity’s area is approximately equal to the area of another entity.
- 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_69d822e34b348190ada4d1cdb6c7c226 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb5844de481908a796eaa474bfde9 |
completed | April 14, 2026, 9:45 p.m. |
| PD | Predicate disambiguation | batch_69de6579fb7881909becc8f5822b39d4 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.