Triple
T30645242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UKHL |
E780101
|
entity |
| Predicate | appliesToCourtType |
P8214
|
FINISHED |
| Object | appellate court |
—
|
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: appellate court | Statement: [UKHL, appliesToCourtType, appellate court]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appliesToCourtType Context triple: [UKHL, appliesToCourtType, appellate court]
-
A.
hasTypeOfCourt
chosen
Indicates that an entity is associated with or classified by a specific type or category of court.
-
B.
recognizesCourt
Indicates that one legal authority formally accepts the legitimacy or jurisdiction of a particular court.
-
C.
usesJurisdictionType
Indicates that one entity applies, operates under, or is governed by a particular type or category of jurisdiction.
-
D.
isPartOfCourtSystem
Indicates that one legal body, division, or component belongs to and operates within a larger court system.
-
E.
appliesToFieldOfLaw
Indicates that something is relevant or applicable to a particular field or branch of law.
- 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_69f224a50ebc81909b961a94c7f66b12 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fddf721c1481909301a0f379368f10 |
completed | May 8, 2026, 1:04 p.m. |
| PD | Predicate disambiguation | batch_69fddda1ae7c8190b5848ff9a9e39826 |
completed | May 8, 2026, 12:57 p.m. |
Created at: April 29, 2026, 8:29 p.m.