Triple
T34991247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yamanote district |
E1009389
|
entity |
| Predicate | languageContrastWith |
P202647
|
FINISHED |
| Object | Shitamachi dialect |
—
|
NE NERFINISHED |
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: Shitamachi dialect | Statement: [Yamanote district, languageContrastWith, Shitamachi dialect]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageContrastWith Context triple: [Yamanote district, languageContrastWith, Shitamachi dialect]
-
A.
contrastsWithLanguagePhilosophyOf
Indicates that one entity’s view or position stands in opposition to, or significantly differs from, another entity’s philosophy of language.
-
B.
contrastsWithMajorityLanguage
Indicates that one language or linguistic feature is notably different from, and stands in opposition to, the dominant or majority language in a given context.
-
C.
exploresContrastBetween
Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
-
D.
languageIndependence
Indicates that a concept, method, or representation does not depend on any specific programming or natural language and can be applied uniformly across different languages.
-
E.
hasEnglishContrastTerm
Indicates that there exists an English term that serves as a contrasting counterpart to the given term or concept.
- F. None of above. chosen
Provenance (4 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_69f76dca50dc8190b71f39defe186be8 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a00a602b6b48190a9dea8ae22d2fa05 |
completed | May 10, 2026, 3:36 p.m. |
| PD | Predicate disambiguation | batch_6a00a559bf3881909a7b50776d8f47bb |
completed | May 10, 2026, 3:33 p.m. |
| PDg | Predicate description generation | batch_6a00a601ff988190b3eb7a9abc92a557 |
completed | May 10, 2026, 3:36 p.m. |
Created at: May 3, 2026, 4:01 p.m.