Triple
T424027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tohoku University |
E8164
|
entity |
| Predicate | hasTimesHigherEducationRanking2024 |
P13602
|
FINISHED |
| Object | top 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 200 globally | Statement: [Tohoku University, hasTimesHigherEducationRanking2024, top 200 globally]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimesHigherEducationRanking2024 Context triple: [Tohoku University, hasTimesHigherEducationRanking2024, top 200 globally]
-
A.
establishedInstitution
Indicates that an entity founded, created, or formally set up an institution or organization.
-
B.
isLargestCampusOf
Indicates that one campus is the largest (by size, area, or capacity) among all campuses belonging to a particular institution or organization.
-
C.
university
Indicates that an educational institution of higher learning is associated with or attended by a given entity.
-
D.
hasMajorUniversity
Indicates that a location or region contains at least one prominent, large, or academically significant university.
-
E.
hasHonoraryDegreeFrom
Indicates that an individual has been awarded an honorary degree by a particular institution.
- 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_69a2e7f1d1bc81909cf2dc9754a3c334 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2eed3e4cc8190ba6aff3bd1adb06f |
completed | Feb. 28, 2026, 1:34 p.m. |
| PD | Predicate disambiguation | batch_69a2edd5439c8190aea661b8b4aa51e9 |
completed | Feb. 28, 2026, 1:29 p.m. |
| PDg | Predicate description generation | batch_69a2ee8b56d08190bd625626353d01b4 |
completed | Feb. 28, 2026, 1:32 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.