Triple
T29826659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State Counsellor Law |
E757397
|
entity |
| Predicate | typeOfPositionCreated |
P112307
|
FINISHED |
| Object | civilian leadership role |
—
|
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: civilian leadership role | Statement: [State Counsellor Law, typeOfPositionCreated, civilian leadership role]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPositionCreated Context triple: [State Counsellor Law, typeOfPositionCreated, civilian leadership role]
-
A.
createsPosition
Indicates that one entity establishes or originates a new role, job, or position for another entity or within an organization.
-
B.
typicalPositionType
chosen
Indicates the usual or most common positional role or placement type that an entity generally occupies or is associated with.
-
C.
typeOfRole
Indicates that one entity specifies the kind or category of role that another entity holds or performs.
-
D.
appointedPositionOf
Indicates that an entity holds or has been officially assigned to a particular position, role, or office.
-
E.
offeredPosition
Indicates that one entity has extended a job or role opportunity to 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_69f22457c84c8190a6d9f56bc74082a9 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff2636e2bc8190bba91eff91431c6e |
completed | May 9, 2026, 12:19 p.m. |
| PD | Predicate disambiguation | batch_69ff25c65be48190868480d94e1c4e89 |
completed | May 9, 2026, 12:17 p.m. |
Created at: April 29, 2026, 5:32 p.m.