Triple
T19644510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Order of Manitoba Act |
E471636
|
entity |
| Predicate | typeOfHonourCreated |
P4123
|
FINISHED |
| Object | civilian honour |
—
|
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: civilian honour | Statement: [Order of Manitoba Act, typeOfHonourCreated, civilian honour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfHonourCreated Context triple: [Order of Manitoba Act, typeOfHonourCreated, civilian honour]
-
A.
honourType
chosen
Indicates the specific category or classification of an honour or award associated with an entity.
-
B.
honourOf
Indicates that one entity is the source, bearer, or cause of another entity’s honor, prestige, or distinguished recognition.
-
C.
honoursSystem
Indicates that an entity follows or complies with a particular system of rules, standards, or principles.
-
D.
honoursAchievement
Indicates that one entity formally recognizes and celebrates the notable accomplishment or success of another entity.
-
E.
majorHonourCount
Indicates the number of significant or top-level honors or awards associated with an 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_69d8e51395348190ac1416d46dfc6db0 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e6412452d481908b6946cad3c411d5 |
completed | April 20, 2026, 3:07 p.m. |
| PD | Predicate disambiguation | batch_69e514e941008190898d978d7bde91e4 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:44 p.m.