Triple
T31831058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebina |
E812534
|
entity |
| Predicate | nationalDietDistrict |
P33663
|
FINISHED |
| Object | Kanagawa 13th district |
—
|
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: Kanagawa 13th district | Statement: [Ebina, nationalDietDistrict, Kanagawa 13th district]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nationalDietDistrict Context triple: [Ebina, nationalDietDistrict, Kanagawa 13th district]
-
A.
isNationalDishOf
Indicates that a particular food is officially or culturally recognized as the national dish of a specific country or region.
-
B.
nationalFruit
Indicates that a particular fruit is officially designated as the national fruit of a country or region.
-
C.
isMainDistrictOf
Indicates that a district serves as the primary or central administrative district of a specified larger area or jurisdiction.
-
D.
administrativeDistrictOf
chosen
Indicates that one entity serves as the administrative district or jurisdictional area governing or encompassing another entity.
-
E.
typicalDistricts
Indicates that certain districts are characteristic or representative examples of a larger region, category, or entity.
- 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_69f348ea7ffc8190a2ab43d80277cf59 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69fbad1e94988190b86d447a68e65067 |
completed | May 6, 2026, 9:05 p.m. |
| PD | Predicate disambiguation | batch_69fba881b8e0819094790935152b99a1 |
completed | May 6, 2026, 8:45 p.m. |
Created at: April 30, 2026, 11:47 p.m.