Triple
T2291844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maidashi Campus |
E51520
|
entity |
| Predicate | isMainSiteOf |
P19451
|
FINISHED |
| Object | medical-related faculties of Kyushu University |
—
|
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: medical-related faculties of Kyushu University | Statement: [Maidashi Campus, isMainSiteOf, medical-related faculties of Kyushu University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMainSiteOf Context triple: [Maidashi Campus, isMainSiteOf, medical-related faculties of Kyushu University]
-
A.
hasMainSite
chosen
Indicates that one entity is designated as the primary or central site associated with another entity.
-
B.
isSiteOf
Indicates that a location or place serves as the setting or host for a particular event, activity, or feature.
-
C.
containsSite
Indicates that one entity spatially or structurally includes another entity as a site or location within its bounds.
-
D.
isSiteSpecific
Indicates that something is designed, intended, or valid only for a particular location, context, or site and does not generally apply elsewhere.
-
E.
hasSisterSite
Indicates that one site is formally associated with another as a sister site, typically implying a parallel or closely related counterpart.
- 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_69a88b09c644819090b503456d96bf70 |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abcd0e42248190ada33b84d75caa64 |
completed | March 7, 2026, 7 a.m. |
| PD | Predicate disambiguation | batch_69abc589295c819092989820c2b4e9d8 |
completed | March 7, 2026, 6:28 a.m. |
Created at: March 4, 2026, 7:48 p.m.