Triple
T25092577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Foss v Harbottle |
E628501
|
entity |
| Predicate | hasDoctrineName |
P16590
|
FINISHED |
| Object | rule in Foss v Harbottle |
—
|
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: rule in Foss v Harbottle | Statement: [Foss v Harbottle, hasDoctrineName, rule in Foss v Harbottle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDoctrineName Context triple: [Foss v Harbottle, hasDoctrineName, rule in Foss v Harbottle]
-
A.
containsDoctrine
Indicates that one entity includes, embodies, or incorporates the doctrine, principles, or teachings represented by another entity.
-
B.
doctrineName
chosen
Indicates that one entity is the formal or recognized name of a particular doctrine associated with another entity.
-
C.
usesDoctrine
Indicates that one entity applies, follows, or relies on a particular doctrine in its actions or reasoning.
-
D.
hasDialectName
Indicates that a language, dialect, or linguistic variety is associated with a specific dialectal name or label.
-
E.
acceptsDoctrine
Indicates that one entity acknowledges, adopts, or agrees to follow the doctrine put forward by 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_69e2ff2f58e881908340527bc5d34f07 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f464b691bc81908e0a286c32a902e8 |
completed | May 1, 2026, 8:30 a.m. |
| PD | Predicate disambiguation | batch_69f442c861188190967655c6d8012380 |
completed | May 1, 2026, 6:06 a.m. |
Created at: April 18, 2026, 6:24 a.m.