Triple
T26589918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suginami City Office |
E667321
|
entity |
| Predicate | providesServiceInLanguage |
P112988
|
FINISHED |
| Object | Japanese |
—
|
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 | Statement: [Suginami City Office, providesServiceInLanguage, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesServiceInLanguage Context triple: [Suginami City Office, providesServiceInLanguage, Japanese]
-
A.
currentLanguageOfServices
Indicates that a specified language is the one presently used to provide or deliver certain services.
-
B.
hasCustomerServiceLanguage
chosen
Indicates that an entity provides customer service in a specified language or set of languages.
-
C.
serviceBranchLanguage
Indicates the language or languages used or officially recognized by a particular branch of a service (such as a military or organizational branch).
-
D.
languageOfEarlyServices
Indicates the language in which early services (such as initial or preliminary sessions, programs, or interventions) are conducted.
-
E.
languageOfProvision
Indicates the language in which a provision, such as a legal or contractual clause, is written or officially expressed.
- 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_69ee9cfc385081909ac9ae178030a06e |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 27, 2026, 2:07 a.m.