Triple
T18178852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Appendix FM |
E435230
|
entity |
| Predicate | setsOutRequirementsFor |
P39303
|
FINISHED |
| Object | entry clearance as a partner |
—
|
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: entry clearance as a partner | Statement: [Appendix FM, setsOutRequirementsFor, entry clearance as a partner]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: setsOutRequirementsFor Context triple: [Appendix FM, setsOutRequirementsFor, entry clearance as a partner]
-
A.
establishedRequirement
chosen
Indicates that one entity has formally set or defined a requirement that another entity is expected to satisfy or comply with.
-
B.
basedOnRequirementOf
Indicates that something is established, created, or determined according to a specified requirement or set of requirements.
-
C.
setsOut
Indicates that an entity begins a journey, course of action, or process, moving from an initial state or location toward a goal or destination.
-
D.
designedToMeetRequirement
Indicates that something has been intentionally created or configured in order to satisfy a specified requirement.
-
E.
requiredTo
Indicates that one entity has an obligation or necessity to perform an action or satisfy a condition in relation to another entity or 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_69d8b90c7ec081909b4694ccecb449c6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4df5b68f081908aac8210270f1499 |
completed | April 19, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:31 a.m.