Triple
T2183940
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lund University |
E49107
|
entity |
| Predicate | hasARWURankingRange |
P37163
|
FINISHED |
| Object | top 100–200 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 100–200 globally | Statement: [Lund University, hasARWURankingRange, top 100–200 globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasARWURankingRange Context triple: [Lund University, hasARWURankingRange, top 100–200 globally]
-
A.
TimesHigherEducationRankingRange
Indicates that an entity’s position in the Times Higher Education ranking falls within a specified numerical range.
-
B.
QSWorldUniversityRankingRange
Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
-
C.
QSWorldUniversityRankingCategory
Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
-
D.
hasTimesHigherEducationRanking2024
Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
-
E.
educationRanking
Indicates the relative position or level assigned to an entity based on the quality or performance of its educational attributes or outcomes.
- 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_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. |
| PDg | Predicate description generation | batch_69abbf9c77fc8190a323bcaf644fb2c5 |
completed | March 7, 2026, 6:03 a.m. |
Created at: March 4, 2026, 7:45 p.m.