Triple
T30785695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | メタボリズム |
E783948
|
entity |
| Predicate | 地理的中心 |
P1822
|
FINISHED |
| Object | 東京 |
—
|
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: 東京 | Statement: [メタボリズム, 地理的中心, 東京]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地理的中心 Context triple: [メタボリズム, 地理的中心, 東京]
-
A.
geographicCenter
chosen
Indicates the location that serves as the central point of a geographic area or region.
-
B.
geographicRole
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
-
C.
geographicalStructure
Indicates a relationship where one entity is a physical geographic feature or formation that characterizes or shapes the spatial nature of another entity or area.
-
D.
geographicContext
Indicates that one entity is situated within, associated with, or characterized by the geographic setting or region defined by another entity.
-
E.
isGeographicalEntity
Indicates that something exists as a distinct geographic feature, area, or place within physical space.
- 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_69f224b213c8819083886073f90b647e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f68fe8168c8190b083be0e33988b9c |
completed | May 2, 2026, 11:59 p.m. |
| PD | Predicate disambiguation | batch_69f686140aa08190a35f62572b2db9b6 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:41 p.m.