Triple
T5008624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongyang |
E112558
|
entity |
| Predicate | hasEconomicType |
P52901
|
FINISHED |
| Object | export-oriented economy |
—
|
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: export-oriented economy | Statement: [Dongyang, hasEconomicType, export-oriented economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicType Context triple: [Dongyang, hasEconomicType, export-oriented economy]
-
A.
hasEconomyCharacteristic
chosen
Indicates that an economy possesses a particular attribute, feature, or quality.
-
B.
hasEconomicDimension
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
C.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
hasEconomicResource
Indicates that an entity possesses, controls, or has access to an economic resource (such as money, assets, or productive means) that can be used for economic activities or value creation.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd730a7590819088ab8d49c5c88c2f |
completed | March 20, 2026, 4:17 p.m. |
| PD | Predicate disambiguation | batch_69bd714cbc448190aa53a8a83d768b64 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:35 p.m.