Triple
T32771832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Court of Session Inner House |
E838083
|
entity |
| Predicate | usesTitleForJudges |
P10405
|
FINISHED |
| Object | Lord |
—
|
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: Lord | Statement: [Court of Session Inner House, usesTitleForJudges, Lord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTitleForJudges Context triple: [Court of Session Inner House, usesTitleForJudges, Lord]
-
A.
usesTitleIn
Indicates that an entity is referred to using a particular title within a specified context or medium.
-
B.
usesTitle
chosen
Indicates that one entity refers to or addresses another entity using a specific title or formal designation.
-
C.
hasJuryTitle
Indicates that an entity holds or is assigned a specific title or role as a member of a jury.
-
D.
usesLayJudges
Indicates that a legal system, court, or trial incorporates lay judges—non-professional, typically citizen adjudicators—into its decision-making process.
-
E.
usedTitleIn
Indicates that one entity employed or referenced another entity as a title in some context.
- 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_69f3493a824c8190938489ba69041d08 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fb2e940d5c8190bceae77daf4ef512 |
completed | May 6, 2026, 12:05 p.m. |
| PD | Predicate disambiguation | batch_69f9fec70bd881909c658a3c5020318b |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 1, 2026, 1:13 a.m.