Triple
T12765180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Those Who Give Less in Measure and Weight |
E305103
|
entity |
| Predicate | encouragesAvoidanceOf |
P2184
|
FINISHED |
| Object | cheating in commerce |
—
|
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: cheating in commerce | Statement: [Those Who Give Less in Measure and Weight, encouragesAvoidanceOf, cheating in commerce]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encouragesAvoidanceOf Context triple: [Those Who Give Less in Measure and Weight, encouragesAvoidanceOf, cheating in commerce]
-
A.
seeksToAvoid
Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
-
B.
designedToBeAvoided
Indicates that something is intentionally created or arranged in a way that people should avoid using, encountering, or engaging with it.
-
C.
encourages
Indicates actively motivating, supporting, or giving confidence to another entity to pursue an action, behavior, or state.
-
D.
discourages
chosen
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
E.
designedToAvoid
Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df1ef148190af525532fcb0933b |
completed | April 10, 2026, 9:38 p.m. |
| PD | Predicate disambiguation | batch_69d96409739881909174ba005a986cb5 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:28 p.m.