Triple
T28529253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister of Public Safety |
E721994
|
entity |
| Predicate | hasAgencyUnderPortfolio |
P81426
|
FINISHED |
| Object | Royal Canadian Mounted Police |
—
|
NE NERFINISHED |
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: Royal Canadian Mounted Police | Statement: [Minister of Public Safety, hasAgencyUnderPortfolio, Royal Canadian Mounted Police]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgencyUnderPortfolio Context triple: [Minister of Public Safety, hasAgencyUnderPortfolio, Royal Canadian Mounted Police]
-
A.
belongsToAgency
chosen
Indicates that an entity is under the authority, control, or affiliation of a specific agency.
-
B.
hasParentAgencyType
Indicates that an agency is associated with or falls under a parent agency of a specified type.
-
C.
hasKeyAgency
Indicates that an entity serves as the primary responsible or controlling agency for another entity, action, or process.
-
D.
hadAgency
Indicates that an entity actively initiated, controlled, or was responsible for an action or outcome, rather than being a passive participant.
-
E.
hasAgencyInPlot
Indicates that an entity actively influences or drives events within the narrative’s plot.
- 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_69f01a5d7ec88190ada2d5be7c06c35d |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f64fd4434c8190a4279c3eb71ed30c |
completed | May 2, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69f64cb0d8008190912e1430cfaf92aa |
completed | May 2, 2026, 7:12 p.m. |
Created at: April 28, 2026, 3:27 a.m.