Triple
T38188662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto–Ottawa |
E1005389
|
entity |
| Predicate | hasGovernmentLevelServed |
P21051
|
FINISHED |
| Object | federal government |
—
|
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: federal government | Statement: [Toronto–Ottawa, hasGovernmentLevelServed, federal government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGovernmentLevelServed Context triple: [Toronto–Ottawa, hasGovernmentLevelServed, federal government]
-
A.
servedInGovernmentWith
Indicates that two individuals held positions in the same government or administration during an overlapping period of time.
-
B.
wasInGovernmentWith
Indicates that two individuals served together within the same government or administration during an overlapping period.
-
C.
governmentServed
chosen
Indicates that a person has held a position serving in or working for a particular government.
-
D.
servedInCongress
Indicates that an individual held an official legislative position as a member of a national congress during some period of time.
-
E.
heldPoliticalOfficeIn
Indicates that an entity served in a political office or position within a specified governmental body or jurisdiction.
- 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_69f76dbc22c481908139b694ffde7a0c |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc42cbac48190b8d3e4c9ce140838 |
completed | May 7, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fc69c88190800453eb57a7e62c |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:29 p.m.