Triple
T31458400
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IR |
E802517
|
entity |
| Predicate | denotesCountryWithMajorResource |
P33520
|
FINISHED |
| Object | oil |
—
|
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 | Statement: [IR, denotesCountryWithMajorResource, oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: denotesCountryWithMajorResource Context triple: [IR, denotesCountryWithMajorResource, oil]
-
A.
hasSignificantOilReservesInRegion
Indicates that an entity possesses substantial oil reserves located within a specified geographic region.
-
B.
economicResources
Indicates a relationship where one entity possesses, controls, or provides financial assets, capital, or other economic means that can be used to produce value or support activities.
-
C.
isMajorProducerOf
chosen
Indicates that an entity plays a leading or highly significant role in producing or supplying a particular product, resource, or output.
-
D.
naturalResources
Indicates that one entity possesses, contains, or is a source of natural resources for another entity.
-
E.
isPartOfOilRichRegion
Indicates that an entity is located within or belongs to a geographic area characterized by abundant oil resources.
- 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_69f348c678ac81908a2e950867619061 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 30, 2026, 9:18 p.m.