Triple
T7824448
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumine department store |
E181210
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object | Lumine 0 |
E360874
|
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 0 | Statement: [Lumine department store, hasSubBrand, Lumine 0]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lumine 0 Context triple: [Lumine department store, hasSubBrand, Lumine 0]
-
A.
Lumine Ikebukuro
chosen
Lumine Ikebukuro is a popular multi-story shopping complex in Tokyo’s Ikebukuro district, featuring a wide range of fashion, lifestyle, and dining options.
-
B.
Luma
Luma is a small, star-shaped celestial creature from the Super Mario series, known for its cute appearance and connection to Rosalina and the cosmos.
-
C.
Luz
Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
-
D.
Lumo
Lumo is a British open-access train operator running low-cost, long-distance electric services on the East Coast Main Line between London and northeastern England.
-
E.
Noÿs Lambent
Noÿs Lambent is a pivotal, enigmatic woman in Isaac Asimov’s time-travel novel "The End of Eternity," whose actions critically influence the fate of Eternity and human history.
- 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_69cb14aefd4881908ffa5825f4ba6eff |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:42 p.m.