Triple
T14275651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communications Act 2003 |
E353908
|
entity |
| Predicate | part2Subject |
P37646
|
FINISHED |
| Object | television and radio services |
—
|
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: television and radio services | Statement: [Communications Act 2003, part2Subject, television and radio services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: part2Subject Context triple: [Communications Act 2003, part2Subject, television and radio services]
-
A.
secondPartSubject
chosen
Indicates that the referenced entity serves as the second part or component of the subject in a composite or multipart relationship.
-
B.
fourthPartSubject
Indicates that the subject is the fourth part or component within a larger ordered whole or sequence.
-
C.
subjectMatter
Indicates the topic, theme, or content area that something (such as a work, document, or discussion) is about.
-
D.
subjectType
Indicates the classification or category that defines what kind of entity the subject is.
-
E.
nameOfSubject
Indicates that the predicate specifies the name or label assigned to the subject 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_69d8278d25148190abf1a8c8f5f533ad |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de6583f0ec81909ebfc7a2c6351ff8 |
completed | April 14, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69de2a88446481909cd526da97a3b70f |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:10 a.m.