Triple
T21934379
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leontief production function |
E541649
|
entity |
| Predicate | hasIsoquants |
P146609
|
FINISHED |
| Object | right-angle isoquants |
—
|
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: right-angle isoquants | Statement: [Leontief production function, hasIsoquants, right-angle isoquants]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIsoquants Context triple: [Leontief production function, hasIsoquants, right-angle isoquants]
-
A.
hasQuadrants
Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
-
B.
isIsotropic
Indicates that a property or behavior is identical in all directions, showing no directional dependence.
-
C.
isQuantumOf
Indicates that one entity represents a discrete, indivisible unit or packet of the other entity in a quantized relationship.
-
D.
isCapableOf
Indicates that an entity has the ability or capacity to perform a particular action or function.
-
E.
hasIdealization
Indicates that one entity is a simplified, abstracted, or ideal form or model of another entity, capturing its essential features while omitting complexities.
- 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_69e0c47e2e5c81909a7f74ce3de50911 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12402f7ac81909b14586a46d971bb |
completed | April 28, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
| PDg | Predicate description generation | batch_69e6fb6991948190a428c3c3bfd1c3b8 |
completed | April 21, 2026, 4:22 a.m. |
Created at: April 16, 2026, 7:51 p.m.