Triple
T18630930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucas tree model |
E455412
|
entity |
| Predicate | preferenceSpecification |
P32149
|
FINISHED |
| Object | CRRA utility |
—
|
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: CRRA utility | Statement: [Lucas tree model, preferenceSpecification, CRRA utility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preferenceSpecification Context triple: [Lucas tree model, preferenceSpecification, CRRA utility]
-
A.
statedPreference
Indicates that one entity has explicitly expressed or declared a preference for another entity or option.
-
B.
isPreferredWhen
Indicates that one option, condition, or entity is chosen or favored over others in a particular context or situation.
-
C.
primarySpecification
Indicates that one specification is the main or authoritative specification associated with an entity, distinguishing it from any secondary or supplementary specifications.
-
D.
unitPreference
Indicates a relationship where one entity specifies or favors a particular unit of measurement or representation over others.
-
E.
hasTypeOfPreference
chosen
Indicates that an entity holds a particular kind or category of preference toward something.
- 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_69d8d38cc7948190a55ea64e5638994e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54f07fa8481908b2535b8fba70b7e |
completed | April 19, 2026, 9:54 p.m. |
| PD | Predicate disambiguation | batch_69e478d4a7948190a4bb9223bb5dddfc |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:46 a.m.