Triple
T27979881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cabinet Secretary for Economy, Jobs and Fair Work |
E706592
|
entity |
| Predicate | hasLowerRankPosition |
P11456
|
FINISHED |
| Object | Minister for Employability and Training |
—
|
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: Minister for Employability and Training | Statement: [Cabinet Secretary for Economy, Jobs and Fair Work, hasLowerRankPosition, Minister for Employability and Training]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowerRankPosition Context triple: [Cabinet Secretary for Economy, Jobs and Fair Work, hasLowerRankPosition, Minister for Employability and Training]
-
A.
nobleRankLowerThan
Indicates that one entity holds a noble rank that is lower in hierarchy than the noble rank held by another entity.
-
B.
lowerRank
chosen
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
C.
hasLowerRankAward
Indicates that one award has a lower rank or level of distinction compared to another award.
-
D.
hasLowerTier
Indicates that one entity is ranked, valued, or classified at a lower level or tier relative to another entity.
-
E.
higherRankHas
Indicates that one entity holds a higher rank or hierarchical position than 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 27, 2026, 7:43 p.m.