Triple
T19290604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ecological economics |
E482428
|
entity |
| Predicate | viewsEconomyAs |
P33963
|
FINISHED |
| Object | subsystem of the biosphere |
—
|
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: subsystem of the biosphere | Statement: [ecological economics, viewsEconomyAs, subsystem of the biosphere]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: viewsEconomyAs Context triple: [ecological economics, viewsEconomyAs, subsystem of the biosphere]
-
A.
economicView
chosen
Indicates a relationship where one entity holds or expresses a particular economic belief, stance, or perspective regarding economic systems, policies, or issues.
-
B.
economyIncludes
Indicates that an economy encompasses, contains, or is composed of the specified component, sector, or element.
-
C.
economicAspect
Indicates that something is related to, characterized by, or has implications for economic factors, conditions, or outcomes.
-
D.
viewsBusinessCyclesAs
Indicates how an entity conceptually interprets or characterizes the nature, causes, or dynamics of business cycles.
-
E.
stanceOnEconomy
Indicates a subject's expressed position, opinion, or policy view regarding economic issues or economic policy.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc05c9dc8190846b279f82ae0fa3 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.