Triple
T30404079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Times Higher Education World University Rankings |
E773429
|
entity |
| Predicate | weightingCategory |
P169168
|
FINISHED |
| Object | teaching (the learning environment) |
—
|
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: teaching (the learning environment) | Statement: [Times Higher Education World University Rankings, weightingCategory, teaching (the learning environment)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: weightingCategory Context triple: [Times Higher Education World University Rankings, weightingCategory, teaching (the learning environment)]
-
A.
weightingMethod
Indicates how relative importance or influence is assigned to elements within a set, such as criteria, features, or data points, in a calculation or decision process.
-
B.
rankingCategory
Indicates the classification or type of ranking under which an entity is evaluated or ordered.
-
C.
sectorWeighting
Indicates the proportion or emphasis assigned to a particular sector within a broader portfolio, index, or classification.
-
D.
uniformCategory
Indicates that two or more entities share the same classification or type within a defined category system.
-
E.
colorWeight
Indicates a relationship where a specific color is associated with a particular weight, intensity, or importance value.
- 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_69f2248facd48190b183c3f3ca6daef7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6861c95e88190a5f3a4a6c952692a |
completed | May 2, 2026, 11:17 p.m. |
| PD | Predicate disambiguation | batch_69f678d019fc8190913662cd2f87b857 |
completed | May 2, 2026, 10:21 p.m. |
| PDg | Predicate description generation | batch_69f679496c188190ba585792f987a1f4 |
completed | May 2, 2026, 10:23 p.m. |
Created at: April 29, 2026, 8:03 p.m.