Triple
T8630249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hicksian demand |
E204381
|
entity |
| Predicate | canBeAggregatedTo |
P68691
|
FINISHED |
| Object | market Hicksian demand under certain conditions |
—
|
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: market Hicksian demand under certain conditions | Statement: [Hicksian demand, canBeAggregatedTo, market Hicksian demand under certain conditions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeAggregatedTo Context triple: [Hicksian demand, canBeAggregatedTo, market Hicksian demand under certain conditions]
-
A.
aggregationProperty
chosen
Indicates that one entity serves as an aggregation or summary of values or instances associated with another entity.
-
B.
canBeAugmentedWith
Indicates that one entity is capable of being enhanced, expanded, or supplemented by another entity.
-
C.
canBelongTo
Indicates that something is capable of being a member or part of a particular group, category, or owner.
-
D.
canBeEmbeddedIn
Indicates that one entity can be inserted or integrated within another entity, typically preserving structure or compatibility.
-
E.
canBeViewedAs
Indicates that one entity may be interpreted, treated, or understood as another entity or type under some perspective or conditions.
- 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.