Triple
T20814624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | JR-P17 |
E512403
|
entity |
| Predicate | ticketingICCardBrand |
P69490
|
FINISHED |
| Object | Hayakaken |
—
|
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: Hayakaken | Statement: [JR-P17, ticketingICCardBrand, Hayakaken]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hayakaken Context triple: [JR-P17, ticketingICCardBrand, Hayakaken]
-
A.
Hayakaken
chosen
Hayakaken is a rechargeable contactless smart card used for public transportation in the Fukuoka area of Japan.
-
B.
Yakouren
Yakouren is a small town in northern Algeria’s Kabylie region, known for its forested mountain landscapes and Berber (Amazigh) cultural heritage.
-
C.
Hayakita
Hayakita is a town in Hokkaido, Japan, known as a small rural community situated near the city of Sapporo.
-
D.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
E.
Warekena
The Warekena are an Indigenous people of the Amazon region, primarily living along rivers in Brazil and Venezuela, known for their distinct Arawakan language and traditional riverine lifestyle.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2d4e43c8190aecce82a3f7e2de0 |
completed | April 21, 2026, 12:20 a.m. |
Created at: April 16, 2026, 12:41 p.m.