Triple
T62955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Golden Rule |
E1249
|
entity |
| Predicate | hasFormulation |
P3660
|
FINISHED |
| Object | Treat others as you would like to be treated |
—
|
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: Treat others as you would like to be treated | Statement: [Golden Rule, hasFormulation, Treat others as you would like to be treated]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFormulation Context triple: [Golden Rule, hasFormulation, Treat others as you would like to be treated]
-
A.
hasForm
Indicates that one entity possesses, exhibits, or is characterized by a particular shape, structure, or configuration.
-
B.
hasFullForm
Indicates that one entity is the complete, expanded, or unabbreviated form of another entity.
-
C.
establishedInCurrentForm
Indicates the point in time when something took on its present structure, organization, or configuration, distinct from any earlier versions or forms.
-
D.
keyFormula
Indicates that a formula serves as the primary or defining expression associated with an entity or relationship.
-
E.
formedBy
Indicates that something comes into existence or is created as a result of a specific agent, process, or combination of components.
- F. None of above. chosen
Provenance (4 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_69a24ba4f760819081f6638a3c70538a |
completed | Feb. 28, 2026, 1:57 a.m. |
| NER | Named-entity recognition | batch_69a24fd16c248190a6ee4cd96c388772 |
completed | Feb. 28, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69a24ea3c44081908fa3856969881d1f |
completed | Feb. 28, 2026, 2:10 a.m. |
| PDg | Predicate description generation | batch_69a24fcf5a88819088c5fa4c08476358 |
completed | Feb. 28, 2026, 2:15 a.m. |
Created at: Feb. 28, 2026, 2:02 a.m.