Triple
T36706373
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Egyptian petroleum provinces |
E906369
|
entity |
| Predicate | supportIndustry |
—
|
GENERATED |
| Object | petrochemical sector in Egypt |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportIndustry Context triple: [Egyptian petroleum provinces, supportIndustry, petrochemical sector in Egypt]
-
A.
supportedIndustry
chosen
Indicates that one entity provides backing, resources, or services to help sustain or advance a particular industry.
-
B.
sponsorshipIndustry
Indicates a relationship where one entity sponsors another specifically within a given industry or sector context.
-
C.
sponsorIndustry
Indicates that an entity acts as a sponsor for, or is financially or organizationally supporting, a particular industry or industrial sector.
-
D.
supportAgency
Indicates that one entity provides assistance, backing, or resources to another entity in an official or organizational capacity.
-
E.
support
Indicates that one entity provides assistance, endorsement, or backing to another entity or its actions.
- F. None of above.
Provenance (1 batch)
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_69f76e7195c48190b5580c9cfb01e95f |
completed | May 3, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:12 p.m.