Triple
T3243793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Adelaide |
E68023
|
entity |
| Predicate | ARWUWorldRankingRange |
P37163
|
FINISHED |
| Object | top 200 worldwide |
—
|
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: top 200 worldwide | Statement: [University of Adelaide, ARWUWorldRankingRange, top 200 worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ARWUWorldRankingRange Context triple: [University of Adelaide, ARWUWorldRankingRange, top 200 worldwide]
-
A.
hasARWURankingRange
chosen
Indicates that an entity is associated with a specific range of positions in the ARWU (Academic Ranking of World Universities) ranking system.
-
B.
QSWorldUniversityRankingRange
Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
-
C.
TimesHigherEducationRankingRange
Indicates that an entity’s position in the Times Higher Education ranking falls within a specified numerical range.
-
D.
QSWorldUniversityRankingCategory
Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
-
E.
QSWorldUniversityRankingsStatus
Indicates the status or standing of an entity within the QS World University Rankings system.
- 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_69ad858e4c708190aa31d486cfee8a6a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf1856708190b072efbb27920ade |
completed | March 8, 2026, 5:17 p.m. |
| PD | Predicate disambiguation | batch_69ada41837e48190933572165be0ca38 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:08 p.m.