Triple
T8630223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hicksian demand |
E204381
|
entity |
| Predicate | allowsToVary |
P11288
|
FINISHED |
| Object | income |
—
|
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: income | Statement: [Hicksian demand, allowsToVary, income]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: allowsToVary Context triple: [Hicksian demand, allowsToVary, income]
-
A.
hasVariability
Indicates that an entity exhibits variation or fluctuation in its state, value, or characteristics over time or across instances.
-
B.
usageVariesBy
chosen
Indicates that the way something is used differs depending on a specified factor, such as context, user, location, or conditions.
-
C.
affectsVariant
Indicates that one entity has an influence or impact on a specific variant or version of another entity.
-
D.
rulesVariantOf
Indicates that one set of rules is a modified or alternative version derived from another set of rules.
-
E.
variesLessThan
Indicates that the degree or amount of change in one quantity is smaller than the degree or amount of change in another quantity.
- 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:27 p.m.