Triple
T12765157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Those Who Give Less in Measure and Weight |
E305103
|
entity |
| Predicate | violate |
P2111
|
FINISHED |
| Object | principles of fairness |
—
|
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: principles of fairness | Statement: [Those Who Give Less in Measure and Weight, violate, principles of fairness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: violate Context triple: [Those Who Give Less in Measure and Weight, violate, principles of fairness]
-
A.
violationOf
Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
-
B.
violatedPrinciple
chosen
Indicates that an entity has broken, disregarded, or acted contrary to a specified rule, norm, or guiding principle.
-
C.
violationContext
Indicates the specific circumstances, conditions, or situational factors under which a violation occurs or is considered to have occurred.
-
D.
prohibits
Indicates that one entity forbids or disallows another entity from performing a specific action or being in a certain state.
-
E.
violationConsequences
Indicates the negative outcomes, penalties, or repercussions that result from a violation of a rule, law, or agreement.
- 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.