Triple
T8997856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences Distinguished Professor |
E214963
|
entity |
| Predicate | mayBeRenewable |
P85596
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [College of Arts and Sciences Distinguished Professor, mayBeRenewable, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayBeRenewable Context triple: [College of Arts and Sciences Distinguished Professor, mayBeRenewable, yes]
-
A.
isRenewable
Indicates that a resource or energy source can be naturally replenished or regenerated within a human-relevant timescale.
-
B.
isRenewableSurface
Indicates that a surface can be restored, replaced, or regenerated without depleting resources or causing long-term degradation.
-
C.
isNonRenewable
Indicates that a resource or energy source cannot be naturally replenished within a human-relevant timescale once consumed.
-
D.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
-
E.
hasRenewableEnergy
Indicates that an entity possesses or utilizes energy derived from renewable sources.
- F. None of above. chosen
Provenance (4 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_69ca83a05c608190bdfdbdb25e994b39 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc68e0d3588190bdab0e2b86b09228 |
completed | April 1, 2026, 12:37 a.m. |
| PD | Predicate disambiguation | batch_69cc5edd6cb48190b4fc6d6ca0418056 |
completed | March 31, 2026, 11:55 p.m. |
| PDg | Predicate description generation | batch_69cc5f6dec4081909379bd57c02a5710 |
completed | March 31, 2026, 11:57 p.m. |
Created at: March 30, 2026, 7:05 p.m.