Triple
T6810920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gadjah Mada University |
E156629
|
entity |
| Predicate | hasQSAsiaRanking |
P73216
|
FINISHED |
| Object | top Indonesian 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: top Indonesian university | Statement: [Gadjah Mada University, hasQSAsiaRanking, top Indonesian university]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQSAsiaRanking Context triple: [Gadjah Mada University, hasQSAsiaRanking, top Indonesian university]
-
A.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
B.
hasOfficialRankingSystem
Indicates that there exists a formally recognized and structured system for ranking or ordering entities according to defined criteria.
-
C.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
D.
hasRankingCategory
Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
-
E.
isOneOfHighestRankingAsianOfficialsIn
Indicates that the subject is among the top-ranking Asian officials within the specified organization, institution, or jurisdiction.
- 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_69c68828b26c819090fe9df7612bbc27 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30ded6481908fd64611607c610e |
completed | March 27, 2026, 6:57 p.m. |
| PD | Predicate disambiguation | batch_69c6d09bb4f881909bf20c188cb3e8e1 |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1d5f1908190989efc8a2d18c965 |
completed | March 27, 2026, 6:52 p.m. |
Created at: March 27, 2026, 2:16 p.m.