Triple
T291657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Iraq |
E6006
|
entity |
| Predicate | majorResource |
P4199
|
FINISHED |
| Object | crude 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: crude oil | Statement: [Iraq, majorResource, crude oil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: majorResource Context triple: [Iraq, majorResource, crude oil]
-
A.
hasMajorResource
chosen
Indicates that an entity possesses or is characterized by a primary or most significant resource.
-
B.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
C.
majorExport
Indicates that something is a primary or significant export product or resource of a given entity (such as a country or region).
-
D.
majorCase
Indicates that a legal case is of primary importance or high significance within a given context.
-
E.
majorExposition
Indicates that an entity is a primary or large-scale public presentation or exhibition of another entity (such as a work, collection, or topic).
- 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_69a2e79114b081909490b3bf5a5dbb51 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2ea0dd1dc8190aecd5afdeb2fd74b |
completed | Feb. 28, 2026, 1:13 p.m. |
| PD | Predicate disambiguation | batch_69a2e934b4408190b53a17f57a02df65 |
completed | Feb. 28, 2026, 1:10 p.m. |
Created at: Feb. 28, 2026, 1:06 p.m.