Triple
T7356048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sault Ste. Marie Canal Superintendent’s Residence |
E169627
|
entity |
| Predicate | originalOccupantRole |
P71794
|
FINISHED |
| Object | canal superintendent |
—
|
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: canal superintendent | Statement: [Sault Ste. Marie Canal Superintendent’s Residence, originalOccupantRole, canal superintendent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalOccupantRole Context triple: [Sault Ste. Marie Canal Superintendent’s Residence, originalOccupantRole, canal superintendent]
-
A.
formerOccupant
Indicates that an entity previously occupied a position, role, or place but no longer does so.
-
B.
originalHolderOccupation
chosen
Indicates the occupation or professional role held by the entity that originally possessed or owned another entity.
-
C.
laterOccupant
Indicates that one entity occupied or held a position in a place or role after another entity had previously done so.
-
D.
firstOccupiedBy
Indicates which entity was the initial or earliest known occupant of a given place, position, or resource.
-
E.
ownerOccupation
Indicates that the occupation or job role of an entity that owns something is being specified or described.
- 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_69c68a59f2288190877ca15c19b1e822 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f26d6d6081909c7272a9ccae0d97 |
completed | March 27, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69c6f02d36108190bcb34a95e6a30bd7 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.