Triple
T4199149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colonial Secretary of New South Wales |
E86023
|
entity |
| Predicate | positionFunction |
P49236
|
FINISHED |
| Object | oversight of public service |
—
|
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: oversight of public service | Statement: [Colonial Secretary of New South Wales, positionFunction, oversight of public service]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionFunction Context triple: [Colonial Secretary of New South Wales, positionFunction, oversight of public service]
-
A.
coordinateFunction
Indicates a functional relationship that maps or translates one set of coordinates to another within a defined space or system.
-
B.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
C.
positionUse
chosen
Indicates how a particular position or role is utilized or functionally applied within a given context.
-
D.
positionInCase
Indicates the specific role, status, or placement that an entity holds within a particular case or legal proceeding.
-
E.
peakFunction
Indicates that a function reaches a maximum (peak) value at a specific point or over a given interval.
- 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_69aed93b89f48190a31f6d57c760e42f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af036243b4819097efe6b796823cd9 |
completed | March 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69af01959c4881909eb1adcb3bdadbe6 |
completed | March 9, 2026, 5:21 p.m. |
Created at: March 9, 2026, 3:48 p.m.