Triple
T32195638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 京阪黄檗駅 |
E822396
|
entity |
| Predicate | 最寄り大学 |
P6776
|
FINISHED |
| Object | 京都大学 |
—
|
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: 京都大学 | Statement: [京阪黄檗駅, 最寄り大学, 京都大学]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 最寄り大学 Context triple: [京阪黄檗駅, 最寄り大学, 京都大学]
-
A.
hostUniversity
Indicates that a university serves as the primary institution hosting, organizing, or providing the setting for a given entity or activity (such as a program, event, or affiliation).
-
B.
hasNearbyInstitution
chosen
Indicates that one entity is located close to or in the immediate vicinity of an institution.
-
C.
awayUniversity
Indicates that an entity is located at or associated with a university that is geographically distant from another referenced place or context.
-
D.
universityName
Indicates the official name associated with a particular university.
-
E.
universityLocatedIn
Indicates that a university is situated within or associated with a specific geographic location or administrative region.
- 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_69f3490819cc81909bae1f8ce99423c5 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bb3795fc8190bfcb00d45aa887a1 |
completed | May 3, 2026, 3:04 a.m. |
| PD | Predicate disambiguation | batch_69f6b3aa892481908d29283a074e6722 |
completed | May 3, 2026, 2:32 a.m. |
Created at: May 1, 2026, 12:35 a.m.