Triple
T31752461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ORPC 1.3 Diligence |
E810461
|
entity |
| Predicate | typeOfDuty |
P201565
|
FINISHED |
| Object | professional responsibility duty |
—
|
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: professional responsibility duty | Statement: [ORPC 1.3 Diligence, typeOfDuty, professional responsibility duty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfDuty Context triple: [ORPC 1.3 Diligence, typeOfDuty, professional responsibility duty]
-
A.
scopeOfDuty
Indicates the range or extent of responsibilities, tasks, or obligations that an entity is expected or authorized to perform.
-
B.
occupationDuty
Indicates that an occupation entails a specific duty, responsibility, or task that is expected to be performed as part of that role.
-
C.
performsDuty
Indicates that one entity carries out or fulfills a responsibility, task, or obligation on behalf of or in relation to another entity.
-
D.
hasPrimaryDuty
Indicates that one entity holds the main or most important responsibility or obligation toward another entity or within a specified context.
-
E.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
- F. None of above. chosen
Provenance (4 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_69f348e340d48190b780fae618c51464 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
| PDg | Predicate description generation | batch_6a00053cdcb08190980df73e235e9ad8 |
completed | May 10, 2026, 4:10 a.m. |
Created at: April 30, 2026, 11:28 p.m.