Triple
T17059405
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mackenzie–Papineau Battalion |
E413913
|
entity |
| Predicate | homecomingExperience |
P2854
|
FINISHED |
| Object | lack of official recognition in Canada |
—
|
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: lack of official recognition in Canada | Statement: [Mackenzie–Papineau Battalion, homecomingExperience, lack of official recognition in Canada]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homecomingExperience Context triple: [Mackenzie–Papineau Battalion, homecomingExperience, lack of official recognition in Canada]
-
A.
homecoming
Indicates a person’s return to their home, origin, or a place of prior belonging after having been away.
-
B.
homecomingHeldInMonth
Indicates that a homecoming event takes place during a specified calendar month.
-
C.
experiences
chosen
Indicates that an entity undergoes, feels, or is affected by a particular event, state, or condition.
-
D.
providesExperienceOf
Indicates that one entity enables or delivers the experience of another entity to someone or something.
-
E.
laterAttends
Indicates that one entity attends an event or place at a time later than another referenced attendance.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7c21a881909bfb67080706612f |
completed | April 18, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69e35d60a588819084f53ef9f8b2e7c0 |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:34 a.m.