Triple
T25952902
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | law of markets |
E654011
|
entity |
| Predicate | doesNotDeny |
P39733
|
FINISHED |
| Object | possibility of sectoral overproduction |
—
|
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: possibility of sectoral overproduction | Statement: [law of markets, doesNotDeny, possibility of sectoral overproduction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: doesNotDeny Context triple: [law of markets, doesNotDeny, possibility of sectoral overproduction]
-
A.
doesNotBan
chosen
Indicates that one entity allows or permits another entity or action by explicitly not prohibiting it.
-
B.
doesNot
Indicates that a specified entity lacks, refrains from, or fails to perform a particular action or exhibit a particular property in relation to another entity or context.
-
C.
doesNotAllow
Indicates that one entity prevents, forbids, or does not permit another entity from performing a specific action or being in a certain state.
-
D.
typicallyDenies
Indicates that an entity, in most usual or common circumstances, refuses, rejects, or does not grant something to another entity.
-
E.
doesNotAccept
Indicates that one entity refuses, rejects, or is not configured to receive or allow something from 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_69e7ab40ac788190a771bc499eb1ae5f |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f6049953708190b85d4892d796f928 |
completed | May 2, 2026, 2:05 p.m. |
| PD | Predicate disambiguation | batch_69f5f7fba5248190945acf1561280799 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 22, 2026, 8:44 a.m.