Triple
T90990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | McGill University |
E1827
|
entity |
| Predicate | ranking |
P733
|
FINISHED |
| Object | consistently ranked among top universities worldwide |
—
|
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: consistently ranked among top universities worldwide | Statement: [McGill University, ranking, consistently ranked among top universities worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ranking Context triple: [McGill University, ranking, consistently ranked among top universities worldwide]
-
A.
rankedAs
Indicates that one entity is assigned a specific position or level in an ordered ranking relative to others.
-
B.
depthRank
Indicates the relative ordering of entities based on how deep or distant they are along a specified depth dimension or hierarchy.
-
C.
peakOutputRanking
Indicates the relative position of an entity in an ordered list based on its maximum or peak output level.
-
D.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
E.
usesRankStructure
Indicates that an entity organizes its members or components according to a defined hierarchical rank structure.
- 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_69a24d1a97dc819094e6c021fe9b05a7 |
completed | Feb. 28, 2026, 2:04 a.m. |
| NER | Named-entity recognition | batch_69a2512ef600819084d3c627f0d534f4 |
completed | Feb. 28, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69a24eb9a5ac8190b1d1300e8c4e3606 |
completed | Feb. 28, 2026, 2:11 a.m. |
Created at: Feb. 28, 2026, 2:07 a.m.