Triple
T36936830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 東北大学大学院情報科学研究科 |
E913642
|
entity |
| Predicate | 母体組織 |
P98665
|
FINISHED |
| Object | 東北大学大学院 |
—
|
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: 東北大学大学院 | Statement: [東北大学大学院情報科学研究科, 母体組織, 東北大学大学院]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 母体組織 Context triple: [東北大学大学院情報科学研究科, 母体組織, 東北大学大学院]
-
A.
母体
chosen
Indicates that one entity serves as the originating or containing source (a “mother body”) from which another entity is derived, nurtured, or generated.
-
B.
選出母体
Indicates selecting or choosing an original or primary source entity from which others are derived or determined.
-
C.
下部組織形態
Indicates the organizational form or structure adopted by a subordinate or lower-level organization in relation to its parent entity.
-
D.
organismPartOf
Indicates that one organism is a constituent or component of another organism or larger biological entity.
-
E.
hasTissue
Indicates that one entity possesses, contains, or is associated with a specific tissue of 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69f9fdfc6a1c8190ba9fd414a889fc72 |
completed | May 5, 2026, 2:26 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.