Triple
T21355269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ebisucho Station |
E526603
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Den Den Town |
—
|
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: Den Den Town | Statement: [Ebisucho Station, near, Den Den Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Den Den Town Context triple: [Ebisucho Station, near, Den Den Town]
-
A.
Den Den Town
chosen
Den Den Town is Osaka’s main electronics and otaku shopping district, known for its anime, manga, game shops, and discount electronics stores.
-
B.
Do Da Da
"Do Da Da" is a song by the English rock band The Stranglers, featured on their 1977 album "No More Heroes" and later included in the compilation "Shenanigans."
-
C.
Din Da Da
"Din Da Da" is a percussive, chant-driven electro track originally by George Kranz that has been widely sampled and covered in hip-hop and dance music.
-
D.
Red Town
Red Town is a historical region associated with the settlement of Krasnaya Sloboda, known for its cultural and regional significance.
-
E.
Di Doo Dah
Di Doo Dah is a 1973 French pop album by Jane Birkin, created in collaboration with Serge Gainsbourg and known for its playful, provocative style.
- 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9be3a48190aa8e6e9a5b812981 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:06 p.m.