Triple
T17651239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calgary–Edmonton Corridor |
E429493
|
entity |
| Predicate | notableIndustryCenter |
P16715
|
FINISHED |
| Object | oil and gas services |
—
|
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: oil and gas services | Statement: [Calgary–Edmonton Corridor, notableIndustryCenter, oil and gas services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableIndustryCenter Context triple: [Calgary–Edmonton Corridor, notableIndustryCenter, oil and gas services]
-
A.
notableIndustry
Indicates that an entity is significantly recognized or prominent within a specified industry or sector.
-
B.
notableOrganizationWithin
Indicates that one organization is a prominent or significant entity operating within the scope, structure, or domain of another organization.
-
C.
notableSector
Indicates that an entity is particularly prominent, influential, or significant within a specified sector or industry.
-
D.
notableCenter
chosen
Indicates that an entity is recognized as an important or prominent central point, hub, or focal location for another entity or activity.
-
E.
notableCityCenter
Indicates that a location serves as a prominent or significant central area within a city.
- 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_69d889e2c2608190b762e76d9b2262f1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e46e3d4948819084de72bed922be6e |
completed | April 19, 2026, 5:55 a.m. |
| PD | Predicate disambiguation | batch_69e3cddc87188190ac2f049b86038676 |
completed | April 18, 2026, 6:30 p.m. |
Created at: April 10, 2026, 6:05 a.m.