Triple
T7824446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumine department store |
E181210
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object | Lumine Man |
E695229
|
NE 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: Lumine Man | Statement: [Lumine department store, hasSubBrand, Lumine Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumine Man Context triple: [Lumine department store, hasSubBrand, Lumine Man]
-
A.
Lumine
chosen
Lumine is a Japanese chain of fashionable urban department stores known for trendy apparel, lifestyle goods, and youth-oriented shopping complexes, especially around major train hubs.
-
B.
Lumine Ikebukuro
Lumine Ikebukuro is a popular multi-story shopping complex in Tokyo’s Ikebukuro district, featuring a wide range of fashion, lifestyle, and dining options.
-
C.
Iori
The Iori is a river in the South Caucasus that flows through eastern Georgia and parts of Azerbaijan before joining the Kura River.
-
D.
Mitsuru
Mitsuru is a Japanese given name that can be used for people of any gender and is borne by various notable figures in sports, arts, and entertainment.
-
E.
Mamoru
Mamoru is a Japanese masculine given name commonly borne by notable figures in politics, arts, and entertainment.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cafa0c1f5c8190b16db20daad159a1 |
completed | March 30, 2026, 10:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5a715bbc8190923ef94ccf91c878 |
completed | March 31, 2026, 5:24 a.m. |
Created at: March 30, 2026, 4:42 p.m.