Triple
T5091653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | God’s Gardeners |
E114763
|
entity |
| Predicate | ethicalCode |
P58111
|
FINISHED |
| Object | minimal ecological footprint |
—
|
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: minimal ecological footprint | Statement: [God’s Gardeners, ethicalCode, minimal ecological footprint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ethicalCode Context triple: [God’s Gardeners, ethicalCode, minimal ecological footprint]
-
A.
ethicalInstruction
Indicates that one entity provides guidance, teaching, or directives to another entity about moral principles or ethical behavior.
-
B.
ethicalResponsibility
Indicates a relationship in which an entity is morally obligated to act, decide, or respond in a certain way toward another entity or situation.
-
C.
hasEthicalStandard
chosen
Indicates that an entity adheres to, follows, or is governed by a specified set of ethical principles or standards.
-
D.
typeOfEthicsLaw
Indicates that a given law pertains specifically to a particular category or type within the broader domain of ethics-related legislation.
-
E.
ethicalDebate
Indicates a relationship where parties are engaged in discussing, questioning, or disputing the moral rightness or wrongness of actions, policies, or principles.
- 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_69bd443e941881908eb4e8c685b6f656 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd7541b2bc8190b58c2a23733b7825 |
completed | March 20, 2026, 4:26 p.m. |
| PD | Predicate disambiguation | batch_69bd715c0a448190afc837c6c31dc6ab |
completed | March 20, 2026, 4:10 p.m. |
Created at: March 20, 2026, 1:40 p.m.