Triple
T14387004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CJD (Pennsylvania) |
E356747
|
entity |
| Predicate | disciplinaryMeasuresMayInclude |
P18067
|
FINISHED |
| Object | reprimand |
—
|
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: reprimand | Statement: [CJD (Pennsylvania), disciplinaryMeasuresMayInclude, reprimand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplinaryMeasuresMayInclude Context triple: [CJD (Pennsylvania), disciplinaryMeasuresMayInclude, reprimand]
-
A.
includesMeasures
Indicates that one entity contains, specifies, or encompasses particular measures associated with another entity or context.
-
B.
requiresAssessmentOf
Indicates that one entity necessitates an evaluation, review, or judgment to be performed on another entity before proceeding or fulfilling a condition.
-
C.
disciplinaryMethod
chosen
Indicates a method or approach used to discipline, correct, or control another party’s behavior.
-
D.
requiresMeasures
Indicates that one entity necessitates the implementation or presence of specific measures, actions, or safeguards in relation to another entity or situation.
-
E.
controlMeasure
Indicates a relationship where one entity implements or applies a method, action, or mechanism to regulate, mitigate, or manage a risk, process, or condition associated with 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90283b9c8190b50d30ad58bfe085 |
completed | April 14, 2026, 7:06 p.m. |
| PD | Predicate disambiguation | batch_69de2aa024c48190805df6a9d63deb10 |
completed | April 14, 2026, 11:53 a.m. |
Created at: April 10, 2026, 1:16 a.m.