Triple
T8997827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | College of Arts and Sciences Distinguished Professor |
E214963
|
entity |
| Predicate | isAwardedWithin |
P85595
|
FINISHED |
| Object | university |
—
|
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: university | Statement: [College of Arts and Sciences Distinguished Professor, isAwardedWithin, university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAwardedWithin Context triple: [College of Arts and Sciences Distinguished Professor, isAwardedWithin, university]
-
A.
awardedDuring
Indicates that an award or honor was given to an entity within a specified time period or event.
-
B.
awardedSince
Indicates that an entity has been receiving a particular award continuously from a specified starting time onward.
-
C.
hasAwarded
Indicates that one entity has given or conferred an award to another entity.
-
D.
hasAwardPeriod
Indicates the time span or date range during which an award is valid, active, or applicable.
-
E.
awardedWhen
Indicates the time or condition under which an award or recognition is given to an entity.
- 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.