Triple
T27921938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Monorail Co., Ltd. |
E706227
|
entity |
| Predicate | providesPassengerInformationInLanguage |
P6898
|
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: [Tokyo Monorail Co., Ltd., providesPassengerInformationInLanguage, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesPassengerInformationInLanguage Context triple: [Tokyo Monorail Co., Ltd., providesPassengerInformationInLanguage, Japanese]
-
A.
usedForPassengerInformation
Indicates that something serves the purpose of providing information to passengers.
-
B.
languageOfOnboardOperations
Indicates the language used to conduct or manage onboard operations.
-
C.
languageOfOfficialAnnouncements
chosen
Indicates the language used for formal or official public announcements issued by an authority.
-
D.
languageOfOfficialGuides
Indicates the language in which official guides or instructional materials are provided or published.
-
E.
languageOfInformationCenter
Indicates the language in which an information center communicates or provides its information resources.
- 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_69ef96b6cc808190aab19fb18b235f4b |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7764ab1fc81909f9348db87bd7692 |
completed | May 3, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69f76905d9c88190b1ee810bc9ab644f |
completed | May 3, 2026, 3:25 p.m. |
Created at: April 27, 2026, 6:57 p.m.