Triple
T24686822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anping County |
E611318
|
entity |
| Predicate | exportProducts |
P27525
|
FINISHED |
| Object | metal fences |
—
|
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: metal fences | Statement: [Anping County, exportProducts, metal fences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exportProducts Context triple: [Anping County, exportProducts, metal fences]
-
A.
exportProduct
chosen
Indicates that an entity sends or sells a product from its own country or region to another country or external market.
-
B.
productFor
Indicates that one entity is intended to be used by, with, or in relation to another entity as its product or offering.
-
C.
offersProduct
Indicates that one entity makes a product available to another entity, typically for sale or use.
-
D.
productWith
Indicates a relationship where one entity is associated with, contains, or is offered together with another entity as a product.
-
E.
offersProductCategory
Indicates that a provider or seller makes products belonging to a specific product category available.
- 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_69e2c4d678b081908910f4271627a31a |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f422aee0408190899efe7e24ef2b40 |
completed | May 1, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69f420e92cc88190a803aecdae78a051 |
completed | May 1, 2026, 3:41 a.m. |
Created at: April 18, 2026, 3:18 a.m.