Triple
T20193951
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pokémon Center |
E493035
|
entity |
| Predicate | languageOfOnlineStore |
P16555
|
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: [Pokémon Center, languageOfOnlineStore, Japanese]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfOnlineStore Context triple: [Pokémon Center, languageOfOnlineStore, Japanese]
-
A.
languageOfProduct
Indicates the language in which a product is written, labeled, presented, or otherwise made available.
-
B.
languageOfOfficialWebsite
chosen
Indicates the language in which an entity’s official website is primarily written or presented.
-
C.
serviceBrandLanguage
Indicates the language or languages in which a service brand communicates or is presented.
-
D.
languageOfInternationalEdition
Indicates that a specified language is the language used in the international edition of a work or publication.
-
E.
brandLanguageVariant
Indicates that one language variant of a brand is related to or derived from another language version of the same brand.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad7270081908ed8513a8363e9b1 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.