Triple
T1593295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Science, University of Tokyo |
E34222
|
entity |
| Predicate | globalStanding |
P733
|
FINISHED |
| Object | highly ranked in global science and mathematics fields |
—
|
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: highly ranked in global science and mathematics fields | Statement: [Faculty of Science, University of Tokyo, globalStanding, highly ranked in global science and mathematics fields]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: globalStanding Context triple: [Faculty of Science, University of Tokyo, globalStanding, highly ranked in global science and mathematics fields]
-
A.
globalRanking
chosen
Indicates the position or status of an entity relative to all comparable entities worldwide according to some ranking criteria.
-
B.
wealthRanking
Indicates the relative ordering of entities based on their level of wealth or financial resources.
-
C.
hasStandings
Indicates that an entity possesses or is associated with a set of rankings, positions, or status levels within a competitive or comparative context.
-
D.
globalCompetition
Indicates a competitive relationship or rivalry that occurs between entities operating across multiple countries or on a worldwide scale.
-
E.
topScorer
Indicates that the subject is the individual with the highest score among a specified group or in a particular context.
- 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_69a885fdcb9c819081ce6f0b8cd477dd |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a916d413f08190a4e137e5ed262e25 |
completed | March 5, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69a907bfb39c8190a31e0be14d3d52e6 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:27 p.m.