Triple
T2842228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukes of Queensberry |
E62494
|
entity |
| Predicate | landownership |
P8600
|
FINISHED |
| Object | large estates in Dumfriesshire |
—
|
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: large estates in Dumfriesshire | Statement: [Dukes of Queensberry, landownership, large estates in Dumfriesshire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: landownership Context triple: [Dukes of Queensberry, landownership, large estates in Dumfriesshire]
-
A.
landholdings
Indicates the extent or collection of land owned, controlled, or held by an entity.
-
B.
landTenure
Indicates the type, conditions, or rights under which land is held, used, or owned by an entity.
-
C.
landholderIn
Indicates that one entity holds legal or recognized ownership or tenancy rights over land located within the jurisdiction or bounds of another entity.
-
D.
landPolicy
Indicates a relationship where an authority defines or applies rules governing the ownership, use, management, or distribution of land.
-
E.
majorLandowner
chosen
Indicates that one entity owns a large or dominant portion of land in relation to another entity or area.
- 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_69ab4c3d16bc81908b3a1c98fbd287fe |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdf1898748190b031a2bd2091c0c0 |
completed | March 7, 2026, 8:17 a.m. |
| PD | Predicate disambiguation | batch_69abdd0e86808190bcefffafbd3cd441 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.