Triple
T14567954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yangquan |
E341834
|
entity |
| Predicate | hasMajorResourceType |
P4199
|
FINISHED |
| Object | energy resources |
—
|
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: energy resources | Statement: [Yangquan, hasMajorResourceType, energy resources]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMajorResourceType Context triple: [Yangquan, hasMajorResourceType, energy resources]
-
A.
hasMajorResource
chosen
Indicates that an entity possesses or is characterized by a primary or most significant resource.
-
B.
hasMajorType
Indicates that an entity belongs to or is categorized under a primary or overarching type or classification.
-
C.
hasMajorComponent
Indicates that one entity includes another entity as a primary or most significant component or part.
-
D.
hasMajorCategory
Indicates that something is associated with or classified under a primary, overarching category.
-
E.
hasMajorTenantType
Indicates that an entity (such as a property or building) is associated with a primary or predominant type of tenant.
- 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_69d822dcc6248190bed689984bceb0e2 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb38d89fc819086709fd3607b835f |
completed | April 14, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69de5c57489c8190b57917be1dba6ae6 |
completed | April 14, 2026, 3:25 p.m. |
Created at: April 10, 2026, 1:23 a.m.