Triple
T35521039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goose that Laid the Golden Eggs |
E1026549
|
entity |
| Predicate | hasMoralLessonFor |
P57332
|
FINISHED |
| Object | economics education |
—
|
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: economics education | Statement: [The Goose that Laid the Golden Eggs, hasMoralLessonFor, economics education]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMoralLessonFor Context triple: [The Goose that Laid the Golden Eggs, hasMoralLessonFor, economics education]
-
A.
hasMoralMessage
chosen
Indicates that something conveys or embodies a lesson, value, or guidance about what is right or wrong behavior.
-
B.
hasMoralizingFunction
Indicates that something serves to convey, reinforce, or promote moral norms, values, or judgments within a context or interaction.
-
C.
moralOfMyth
Indicates the underlying lesson, ethical teaching, or message conveyed by a myth.
-
D.
tellsParableTo
Indicates that one entity relates or narrates a parable to another entity.
-
E.
derivesMoralityFrom
Indicates that one entity bases or grounds its moral principles, judgments, or ethical framework on another entity.
- 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_69f76dfe78b081908e2b14cb88dd8c00 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff1e3e13c08190bb8990c44716b746 |
completed | May 9, 2026, 11:45 a.m. |
| PD | Predicate disambiguation | batch_69ff1dfcaf2c8190aaf2b428d57b7782 |
completed | May 9, 2026, 11:43 a.m. |
Created at: May 3, 2026, 4:04 p.m.