Triple
T7283288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Merit (Jamaica) |
E163801
|
entity |
| Predicate | foreignMembersLimit |
P1598
|
FINISHED |
| Object | not counted in the 15-member limit |
—
|
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: not counted in the 15-member limit | Statement: [Order of Merit (Jamaica), foreignMembersLimit, not counted in the 15-member limit]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foreignMembersLimit Context triple: [Order of Merit (Jamaica), foreignMembersLimit, not counted in the 15-member limit]
-
A.
limitedNumberOfMembers
Indicates that the associated group or entity has a maximum allowed number of members or participants.
-
B.
additionalMembersAllowed
chosen
Indicates that more members are permitted to be added beyond those already included or initially specified.
-
C.
hasMaximumNumberOfMembers
Indicates that there is an upper limit on how many members can be associated with a given entity.
-
D.
numberOfMembersDeterminedBy
Indicates that the quantity of members in one entity is defined or constrained by another entity or factor.
-
E.
numberOfAdditionalMembers
Indicates the count of extra members associated with an entity beyond its primary or standard membership.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb4ec2088190a6713eaa221d49a6 |
completed | March 27, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69c6e76c5fbc8190b378830082f11cb0 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:59 p.m.