Triple
T2183938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lund University |
E49107
|
entity |
| Predicate | hasQSWorldRankingRange |
P13383
|
FINISHED |
| Object | top 100–150 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: top 100–150 globally | Statement: [Lund University, hasQSWorldRankingRange, top 100–150 globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQSWorldRankingRange Context triple: [Lund University, hasQSWorldRankingRange, top 100–150 globally]
-
A.
hasWorldRankingPoints
Indicates that an entity possesses a certain number of points in a global or international ranking system.
-
B.
QSWorldUniversityRankingRange
chosen
Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
-
C.
hasRankingUnit
Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
-
D.
TimesHigherEducationRankingRange
Indicates that an entity’s position in the Times Higher Education ranking falls within a specified numerical range.
-
E.
globalRanking
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.