Triple
T4924652
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twaalfjarig Bestand |
E110547
|
entity |
| Predicate | hasEconomicEffect |
P46888
|
FINISHED |
| Object | growth of Dutch trade |
—
|
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: growth of Dutch trade | Statement: [Twaalfjarig Bestand, hasEconomicEffect, growth of Dutch trade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEconomicEffect Context triple: [Twaalfjarig Bestand, hasEconomicEffect, growth of Dutch trade]
-
A.
hasEconomicDimension
chosen
Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
-
B.
hasEconomicContext
Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
-
C.
hasEconomicFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
-
D.
hasEconomyCharacteristic
Indicates that an economy possesses a particular attribute, feature, or quality.
-
E.
hasEconomicRole
Indicates that an entity participates in or fulfills a specific function, position, or responsibility within an economic system or activity.
- 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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffeb86c8190a2fabe1ae1d54118 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3695c8819094e7ad2f6d4ba1ac |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.