Triple
T4785356
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOVA University Lisbon |
E106461
|
entity |
| Predicate | TimesHigherEducationRanking2024 |
P13602
|
FINISHED |
| Object | top 500 |
—
|
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 500 | Statement: [NOVA University Lisbon, TimesHigherEducationRanking2024, top 500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TimesHigherEducationRanking2024 Context triple: [NOVA University Lisbon, TimesHigherEducationRanking2024, top 500]
-
A.
QSWorldUniversityRankingCategory
Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
-
B.
QSWorldUniversityRankingsStatus
Indicates the status or standing of an entity within the QS World University Rankings system.
-
C.
UCLARanking
Indicates a ranking relationship that orders entities based on their position or standing within the context of UCLA (e.g., programs, departments, or individuals associated with the university).
-
D.
hasTimesHigherEducationRanking2024
chosen
Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
-
E.
TimesHigherEducationRankingRange
Indicates that an entity’s position in the Times Higher Education ranking falls within a specified numerical range.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65b0ea408190b348d917883381de |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
Created at: March 20, 2026, 1:22 p.m.