Triple
T33181004
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakado |
E849325
|
entity |
| Predicate | isEducationalHubIn |
P116881
|
FINISHED |
| Object | Greater Tokyo Area |
—
|
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: Greater Tokyo Area | Statement: [Sakado, isEducationalHubIn, Greater Tokyo Area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isEducationalHubIn Context triple: [Sakado, isEducationalHubIn, Greater Tokyo Area]
-
A.
containsEducationalHub
Indicates that one entity includes or hosts an educational hub (such as a learning center, school, or training facility) within its scope or boundaries.
-
B.
educationalHubFor
Indicates that one entity serves as a central place or resource for providing education, learning opportunities, or academic support to another entity.
-
C.
locatedInEducationalHub
chosen
Indicates that an entity is situated within a place recognized as a center or hub of educational activity or institutions.
-
D.
isEducationCentre
Indicates that an entity functions as a place or institution where educational activities, instruction, or learning services are provided.
-
E.
isEducational
Indicates that something serves to teach, instruct, or facilitate learning for an audience.
- 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_69f3495d06508190b0b7729982982cea |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6dd3cc0648190a275812d6711275a |
completed | May 3, 2026, 5:29 a.m. |
| PD | Predicate disambiguation | batch_69f6d82eaee081908f06a71546315aea |
completed | May 3, 2026, 5:07 a.m. |
Created at: May 1, 2026, 1:29 a.m.