Triple
T18652207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faculty of Law, Osaka University |
E455968
|
entity |
| Predicate | emblemOwner |
P29556
|
FINISHED |
| Object | Osaka University |
—
|
NE NERFINISHED |
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: Osaka University | Statement: [Faculty of Law, Osaka University, emblemOwner, Osaka University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emblemOwner Context triple: [Faculty of Law, Osaka University, emblemOwner, Osaka University]
-
A.
emblemName
Indicates that a specified name is the official or recognized title of an emblem.
-
B.
emblemUsedBy
chosen
Indicates that a particular emblem is adopted or employed by a specific entity as its symbol or identifying mark.
-
C.
emblematicFor
Indicates that something serves as a representative symbol or characteristic example of something else.
-
D.
emblemStatus
Indicates the current state or condition of an emblem, such as whether it is active, valid, displayed, or in use.
-
E.
championOwner
Indicates that one entity is the owner or holder of a championship title associated with another entity.
- 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_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5501279d08190aeca36df89fee2b2 |
completed | April 19, 2026, 9:58 p.m. |
| PD | Predicate disambiguation | batch_69e478d85864819093cbad5ed9b54878 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:47 a.m.