Triple
T1232763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McMaster University |
E26479
|
entity |
| Predicate | TimesHigherEducationRankingRange |
P24768
|
FINISHED |
| Object | top 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 150 globally | Statement: [McMaster University, TimesHigherEducationRankingRange, top 150 globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: TimesHigherEducationRankingRange Context triple: [McMaster University, TimesHigherEducationRankingRange, top 150 globally]
-
A.
QSWorldUniversityRankingRange
Indicates the position of an institution within a specified range of ranks in the QS World University Rankings.
-
B.
QSWorldUniversityRankingCategory
Indicates the specific subject area or category under which a university is evaluated in the QS World University Rankings.
-
C.
hasTimesHigherEducationRanking2024
Indicates that an entity holds a specific position or score in the Times Higher Education World University Rankings for the year 2024.
-
D.
educationRanking
Indicates the relative position or level assigned to an entity based on the quality or performance of its educational attributes or outcomes.
-
E.
isLargestFacultyOf
Indicates that one faculty is the largest (typically by size, number of members, or resources) among all faculties within a given institution or context.
- 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_69a4948571c88190a9191e451e6035fd |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be5b40208190b115a6a344402caf |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:47 p.m.