Triple
T17493911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Massey University |
E426001
|
entity |
| Predicate | hasQSWorldRanking |
P127661
|
FINISHED |
| Object | ranked among top universities globally |
—
|
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: ranked among top universities globally | Statement: [Massey University, hasQSWorldRanking, ranked among top universities globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQSWorldRanking Context triple: [Massey University, hasQSWorldRanking, ranked among top universities globally]
-
A.
hasQSAsiaRanking
Indicates that an entity is associated with a specific position or score in the QS Asia university rankings.
-
B.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
C.
hasOfficialRankingSystem
Indicates that there exists a formally recognized and structured system for ranking or ordering entities according to defined criteria.
-
D.
hasOfficialRankingWeight
Indicates that something carries an officially recognized weight or importance in determining a ranking or ordered list.
-
E.
hasUniversityRankingRole
Indicates that an entity holds a specific role or function related to determining, managing, or representing a university’s ranking.
- 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_69d889dccf7481909264a1844a2e9100 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451d782688190afb76fa080867315 |
completed | April 19, 2026, 3:53 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f5fbcc8190a6ea9639bf5650da |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:48 a.m.