Triple
T1153293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Arizona |
E23725
|
entity |
| Predicate | numberOfPostgraduates |
P3390
|
FINISHED |
| Object | over 10000 |
—
|
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: over 10000 | Statement: [University of Arizona, numberOfPostgraduates, over 10000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfPostgraduates Context triple: [University of Arizona, numberOfPostgraduates, over 10000]
-
A.
postgraduatesApprox
chosen
Indicates that one entity has an approximate or estimated number of postgraduate students or postgraduate-related quantity equal to the other entity.
-
B.
postgraduatePrograms
Indicates that an institution offers or is associated with academic programs pursued after completion of an undergraduate degree.
-
C.
undergraduateEnrollment
Indicates the number of undergraduate students enrolled in an institution or program.
-
D.
offersPostgraduateYear
Indicates that an institution or program provides a specific postgraduate year position or training opportunity to an individual.
-
E.
academicDegree
Indicates that an entity holds or has been awarded a specific academic degree.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8e9cb481908a528a828b21d497 |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb50d19c81908a98dbbb04a8906f |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:44 p.m.