Triple
T17963382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Ikhamanga in Silver |
E449138
|
entity |
| Predicate | orderOfPrecedenceWithinOrderOfIkhamanga |
P129926
|
FINISHED |
| Object | middle grade |
—
|
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: middle grade | Statement: [Order of Ikhamanga in Silver, orderOfPrecedenceWithinOrderOfIkhamanga, middle grade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: orderOfPrecedenceWithinOrderOfIkhamanga Context triple: [Order of Ikhamanga in Silver, orderOfPrecedenceWithinOrderOfIkhamanga, middle grade]
-
A.
orderPrecedence
Indicates that one entity must come before another in a defined sequence or priority order.
-
B.
orderOf
Indicates that one entity is arranged, ranked, or sequenced before or after another according to a specified ordering criterion.
-
C.
bindingPrecedent
Indicates that a prior decision or ruling must be followed as an authoritative legal standard in deciding a current case.
-
D.
orderOfPrecedenceHigher
Indicates that one entity holds a higher rank or priority than another in an established order of precedence.
-
E.
confersPrecedenceIn
Indicates that one entity is granted higher priority, rank, or standing over another within a specified context or domain.
- F. None of above. chosen
Provenance (4 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4b135cd2c8190a6190cf6611dbe08 |
completed | April 19, 2026, 10:40 a.m. |
| PD | Predicate disambiguation | batch_69e3f8fa62688190a5d5c361ab896256 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:22 a.m.