Triple
T8264374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Office of Research Integrity |
E193265
|
entity |
| Predicate | typeOfMisconductAddressed |
P76459
|
FINISHED |
| Object | fabrication |
—
|
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: fabrication | Statement: [Office of Research Integrity, typeOfMisconductAddressed, fabrication]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfMisconductAddressed Context triple: [Office of Research Integrity, typeOfMisconductAddressed, fabrication]
-
A.
concernsTypeOfConduct
chosen
Indicates that something is about or relates specifically to a particular type or category of conduct or behavior.
-
B.
violationOf
Indicates that one entity breaches, disobeys, or infringes upon a rule, law, agreement, or right associated with another entity.
-
C.
accusationType
Indicates the specific category or nature of an accusation made by one party against another.
-
D.
hasTransgression
Indicates that one entity has committed, is responsible for, or is associated with a violation, offense, or wrongdoing in relation to another entity or rule.
-
E.
allegedViolationSystem
Indicates a system is reported or suspected to have violated a rule, policy, or regulation, without the violation being legally or formally established.
- 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_69ca82e081d48190986beaa51f498ab9 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb793aa8f08190b20b3616ceb9bec7 |
completed | March 31, 2026, 7:35 a.m. |
| PD | Predicate disambiguation | batch_69cb36b8707881909aca349230495a5a |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:49 p.m.