Triple
T36484484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Canadian SMEs |
E898900
|
entity |
| Predicate | operateInSector |
P100108
|
FINISHED |
| Object | manufacturing |
—
|
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: manufacturing | Statement: [Canadian SMEs, operateInSector, manufacturing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operateInSector Context triple: [Canadian SMEs, operateInSector, manufacturing]
-
A.
sectorOfOperation
chosen
Indicates the industry, domain, or field within which an entity conducts its primary activities or operations.
-
B.
operateIn
Indicates that an entity performs its activities, functions, or services within a specified location, context, or domain.
-
C.
operatesInSegment
Indicates that an entity conducts its activities or provides its services within a specified market or operational segment.
-
D.
servedInSector
Indicates that an entity performed service or duty within a specified sector or domain.
-
E.
operationalSection
Indicates that a section or segment of a larger system, structure, or process is currently active and functioning as intended.
- 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_69f76e5a0e088190a2b6706aeb41723c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_6a01b130f6808190b86442fb16930e6e |
completed | May 11, 2026, 10:36 a.m. |
| PD | Predicate disambiguation | batch_6a01b023157881909a802e06eced3e2f |
completed | May 11, 2026, 10:32 a.m. |
Created at: May 3, 2026, 4:10 p.m.