Triple
T28804891
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Vorster |
E727344
|
entity |
| Predicate | fieldPositionCategory |
P91118
|
FINISHED |
| Object | back |
—
|
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: back | Statement: [Harold Vorster, fieldPositionCategory, back]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldPositionCategory Context triple: [Harold Vorster, fieldPositionCategory, back]
-
A.
positionInField
Indicates the specific role, location, or functional placement an entity occupies within a defined field, domain, or area of activity.
-
B.
fieldName
Indicates the specific name or label assigned to a field within a data structure, form, or record.
-
C.
staffPosition
Indicates the specific role or job position that a staff member holds within an organization.
-
D.
fieldPattern
Indicates a recurring or structured arrangement or configuration present within a field or area.
-
E.
hasPositionalCategory
chosen
Indicates that something is associated with a specific positional classification or category based on its location or arrangement.
- 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_69f0319c38948190bca746ad60fd25ba |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6b2a65c7c8190ac40f1466ceadefc |
completed | May 3, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f6b14d7d508190bc7d4c89dfba4a32 |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 28, 2026, 6:28 a.m.