Triple
T27978576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Medal of Merit for National Defence |
E706554
|
entity |
| Predicate | awardingLevel |
P18108
|
FINISHED |
| Object | national |
—
|
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: national | Statement: [Medal of Merit for National Defence, awardingLevel, national]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardingLevel Context triple: [Medal of Merit for National Defence, awardingLevel, national]
-
A.
hasAwardLevel
chosen
Indicates that an entity possesses or has been assigned a specific level, tier, or rank within an award or recognition system.
-
B.
positionAwarded
Indicates that a specific position, role, or title has been formally granted to an entity (such as a person or organization).
-
C.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
D.
canAward
Indicates that one entity has the authority or ability to grant an award, honor, or recognition to another entity.
-
E.
qualificationAwardedBy
Indicates that a particular qualification was granted or conferred by a specific awarding body or institution.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7117e55908190a67105e92bc4830f |
completed | May 3, 2026, 9:12 a.m. |
| PD | Predicate disambiguation | batch_69f70f380690819090cc34763ba460ed |
completed | May 3, 2026, 9:02 a.m. |
Created at: April 27, 2026, 7:42 p.m.