Triple
T25092670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Walsh v Lonsdale |
E628503
|
entity |
| Predicate | effectOnTenant |
P58916
|
FINISHED |
| Object | tenant is bound by lease covenants as if a legal lease had been granted |
—
|
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: tenant is bound by lease covenants as if a legal lease had been granted | Statement: [Walsh v Lonsdale, effectOnTenant, tenant is bound by lease covenants as if a legal lease had been granted]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: effectOnTenant Context triple: [Walsh v Lonsdale, effectOnTenant, tenant is bound by lease covenants as if a legal lease had been granted]
-
A.
effectOnInside
Indicates a relationship where one entity produces a change, influence, or impact on the internal state or condition of another entity.
-
B.
effectOnMembers
Indicates the impact or influence that something has on the members of a group or organization.
-
C.
effectOnHouseSize
Indicates the influence or impact that one factor has on the size or dimensions of a house.
-
D.
effectOnOthers
chosen
Indicates the impact or influence that one entity’s actions, presence, or state has on other entities.
-
E.
section10Effect
Indicates the legal consequences or impact that arise specifically from the application or enforcement of Section 10 of a statute or agreement.
- 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f6135293908190809e255bf6334760 |
completed | May 2, 2026, 3:08 p.m. |
| PD | Predicate disambiguation | batch_69f611a72780819082f44e66ca2c6ac9 |
completed | May 2, 2026, 3 p.m. |
Created at: April 18, 2026, 6:24 a.m.