Triple
T17996954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Renaissance |
E430525
|
entity |
| Predicate | hasAuthorEconomicOrientation |
P15008
|
FINISHED |
| Object | market-oriented |
—
|
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: market-oriented | Statement: [Renaissance, hasAuthorEconomicOrientation, market-oriented]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAuthorEconomicOrientation Context triple: [Renaissance, hasAuthorEconomicOrientation, market-oriented]
-
A.
hasAuthorPoliticalAlignment
Indicates that an author is associated with or identified as having a particular political alignment or ideology.
-
B.
hasEconomicIdea
chosen
Indicates that an entity possesses, proposes, or is associated with a particular economic concept, theory, or viewpoint.
-
C.
economicPolicyOrientation
Indicates the general stance or approach an entity takes toward economic policy, such as its preferred principles, priorities, or strategies in managing the economy.
-
D.
hasEconomicPosition
Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
-
E.
hasEconomicFocus
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
- 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_69d8b90364248190a37381adea932f42 |
completed | April 10, 2026, 8:46 a.m. |
| NER | Named-entity recognition | batch_69e4b3e5c63c8190890436366c4a47c5 |
completed | April 19, 2026, 10:52 a.m. |
| PD | Predicate disambiguation | batch_69e3f90039e4819080527f860dca042e |
completed | April 18, 2026, 9:34 p.m. |
Created at: April 10, 2026, 10:23 a.m.