Triple
T37180225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大阪工業大学梅田キャンパス |
E921172
|
entity |
| Predicate | 位置するエリア |
P145066
|
FINISHED |
| Object | 梅田エリア |
—
|
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: 梅田エリア | Statement: [大阪工業大学梅田キャンパス, 位置するエリア, 梅田エリア]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 位置するエリア Context triple: [大阪工業大学梅田キャンパス, 位置するエリア, 梅田エリア]
-
A.
areaComponent
Indicates that one area is a constituent or sub-area that forms part of a larger area.
-
B.
所在地エリア
chosen
Indicates the geographical area or region in which an entity is located or based.
-
C.
reservePositionArea
Indicates that an area is designated or set aside to hold or reserve a specific position or set of positions.
-
D.
reportingArea
Indicates that one entity serves as the geographic or organizational area for which information, data, or events about another entity are reported or aggregated.
-
E.
underliesArea
Indicates that one entity forms the foundational basis or underlying support for a particular area or domain of activity, knowledge, or influence.
- 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_69f76ea250bc819083f28d81de25cd0c |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55de3b9c8190a7656aeab3c3ffbc |
completed | May 6, 2026, 2:53 p.m. |
| PD | Predicate disambiguation | batch_69fb35bc92e08190bff447624e2df791 |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:15 p.m.