Triple
T18178925
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appendix Skilled Worker |
E435231
|
entity |
| Predicate | crossRefersTo |
P111150
|
FINISHED |
| Object | Appendix Skilled Occupations |
—
|
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: Appendix Skilled Occupations | Statement: [Appendix Skilled Worker, crossRefersTo, Appendix Skilled Occupations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: crossRefersTo Context triple: [Appendix Skilled Worker, crossRefersTo, Appendix Skilled Occupations]
-
A.
crossReference
chosen
Indicates that one entity refers the user to another related entity or source for additional or supporting information.
-
B.
alsoRefersTo
Indicates that one term, label, or identifier is used as an alternative designation for the same entity or concept as another.
-
C.
notablyRefersTo
Indicates that one entity makes a particularly significant or noteworthy reference to another entity, beyond a routine or incidental mention.
-
D.
centralCrossRepresents
Indicates that a central cross symbol stands for or signifies a particular concept, object, or meaning within a given context.
-
E.
crossesTo
Indicates that one entity moves or extends from one side or area to another, passing over or through some boundary or intervening space.
- 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dff9aad081909cc7eed2b64828f2 |
completed | April 19, 2026, 2 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.