Triple
T26155318
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institution of Engineers Australia |
E659940
|
entity |
| Predicate | offersStatus |
P63281
|
FINISHED |
| Object | Chartered Professional Engineer |
—
|
NE NERFINISHED |
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: Chartered Professional Engineer | Statement: [Institution of Engineers Australia, offersStatus, Chartered Professional Engineer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offersStatus Context triple: [Institution of Engineers Australia, offersStatus, Chartered Professional Engineer]
-
A.
offersStatusLevels
Indicates that an entity provides or makes available different tiers or levels of status to another entity.
-
B.
offersObject
chosen
Indicates that a subject provides or makes available a specific object to another party as an offer.
-
C.
offersOutcome
Indicates that one entity provides or makes available a particular result, consequence, or benefit to another entity.
-
D.
offersStatusMatchPromotions
Indicates that one entity provides status match promotional offers to another entity, typically allowing them to match or upgrade their existing status from a different program.
-
E.
offersServiceIn
Indicates that a provider makes a particular service available within a specified location or jurisdiction.
- 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_69ee5bc5a9908190899d39ce95c6d215 |
completed | April 26, 2026, 6:39 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 26, 2026, 8:27 p.m.