Triple
T13528034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | pro-vice-chancellors |
E323060
|
entity |
| Predicate | oftenHaveTermLength |
P540
|
FINISHED |
| Object | fixed-term appointment |
—
|
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: fixed-term appointment | Statement: [pro-vice-chancellors, oftenHaveTermLength, fixed-term appointment]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oftenHaveTermLength Context triple: [pro-vice-chancellors, oftenHaveTermLength, fixed-term appointment]
-
A.
typicalTerm
Indicates that something is a standard, representative, or characteristic term typically associated with a given concept or context.
-
B.
agingPeriod
Indicates the length of time something is allowed or intended to mature or age before reaching its final or usable state.
-
C.
hasStaggeredTerms
Indicates that the members or positions within a body or group serve overlapping terms that begin and end at different times rather than all simultaneously.
-
D.
hasNoFixedTermLength
Indicates that the relationship or agreement exists without a predetermined or fixed duration for how long it will remain in effect.
-
E.
termLength
chosen
Indicates the duration or period of time for which an agreement, position, or condition remains in effect.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafb8e0cc8190b47f6aeb8ced470e |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.