Triple
T36590576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Special Service Medal (Canada) |
E902657
|
entity |
| Predicate | awardedWithBars |
P104673
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Special Service Medal (Canada), awardedWithBars, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedWithBars Context triple: [Special Service Medal (Canada), awardedWithBars, yes]
-
A.
hasBarForAdditionalAwards
chosen
Indicates that an entity has received one or more additional awards beyond the initial one, represented by an added bar or clasp.
-
B.
usuallyAwardedWith
Indicates that one entity is commonly given or conferred together with another entity as part of the same award or recognition.
-
C.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
D.
mayBeAwardedWith
Indicates that an entity has the potential or eligibility to receive a particular award or distinction.
-
E.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
- 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_69f76e6592e88190bac4eb00a46e9df9 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fddd373cdc8190be1b12e70e4deb1f |
completed | May 8, 2026, 12:55 p.m. |
| PD | Predicate disambiguation | batch_69fddc6915a88190ad41e379aa3ede13 |
completed | May 8, 2026, 12:51 p.m. |
Created at: May 3, 2026, 4:11 p.m.