Triple
T6984159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taira, Iwaki, Fukushima, Japan |
E161919
|
entity |
| Predicate | educationSystemPartOf |
P340
|
FINISHED |
| Object | Japanese education system |
—
|
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: Japanese education system | Statement: [Taira, Iwaki, Fukushima, Japan, educationSystemPartOf, Japanese education system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: educationSystemPartOf Context triple: [Taira, Iwaki, Fukushima, Japan, educationSystemPartOf, Japanese education system]
-
A.
educationSystem
chosen
Indicates the relationship in which an entity is part of, governed by, or operates within a particular system or structure of education.
-
B.
educationFacility
Indicates that one entity functions as an institution or place where the other entity receives or provides education or training.
-
C.
educationSystemCharacteristic
Indicates a characteristic, feature, or attribute that describes an education system.
-
D.
educationSetting
Indicates the type or context of the educational environment in which the related entity participates or operates.
-
E.
educationType
Indicates the specific category or level of education associated with an entity, such as formal, informal, primary, secondary, or higher education.
- 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbbd926c8190a8b60527bd553fa3 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:31 p.m.