Triple
T9888511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metropolitan public hospitals |
E181396
|
entity |
| Predicate | alsoProvideLanguageSupport |
P11734
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Tokyo Metropolitan public hospitals, alsoProvideLanguageSupport, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: alsoProvideLanguageSupport Context triple: [Tokyo Metropolitan public hospitals, alsoProvideLanguageSupport, English]
-
A.
languageProvision
chosen
Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
-
B.
supportsDevelopmentLanguage
Indicates that one entity provides compatibility with, tools for, or the ability to use a particular programming or development language.
-
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.
adoptedLanguage
Indicates that an entity has chosen and begun using a particular language, typically as its official, primary, or preferred means of communication.
-
E.
providesSupportTo
Indicates that one entity offers help, resources, or reinforcement to another entity to aid its function, stability, or success.
- 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_69ca8283a6708190801af7a25a7ebb9f |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cdb4592db881909b134834dde614d8 |
completed | April 2, 2026, 12:12 a.m. |
| PD | Predicate disambiguation | batch_69cd1d810ed48190a252b70e9390c8f3 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:39 p.m.