Triple
T7824424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumine department store |
E181210
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object |
Kitasenju
Kitasenju is a major commercial and transportation hub in Adachi, Tokyo, known for its busy train station, shopping complexes, and urban downtown atmosphere.
|
E699138
|
NE FINISHED |
How this triple was built (4 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: Kitasenju | Statement: [Lumine department store, hasLocation, Kitasenju]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kitasenju Context triple: [Lumine department store, hasLocation, Kitasenju]
-
A.
Kitadake
Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
-
B.
Kamitsumaki
Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
-
C.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
-
D.
Kitaiōjima
Kitaiōjima is the former name of Kita Iōtō, a small volcanic island in the Ogasawara Islands of Japan known for its remote location and military history.
-
E.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kitasenju Triple: [Lumine department store, hasLocation, Kitasenju]
Generated description
Kitasenju is a major commercial and transportation hub in Adachi, Tokyo, known for its busy train station, shopping complexes, and urban downtown atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kitasenju Target entity description: Kitasenju is a major commercial and transportation hub in Adachi, Tokyo, known for its busy train station, shopping complexes, and urban downtown atmosphere.
-
A.
Kitadake
Kitadake is one of the principal peaks of the active Sakurajima volcanic complex in Kagoshima Prefecture, Japan.
-
B.
Kamitsumaki
Kamitsumaki is the first volume of the ancient Japanese chronicle Kojiki, focusing on Shinto creation myths and the age of the gods.
-
C.
Shikaoi
Shikaoi is a rural town in Hokkaido, Japan, known for its natural scenery, agriculture, and access to outdoor activities such as hiking and hot springs.
-
D.
Kitaiōjima
Kitaiōjima is the former name of Kita Iōtō, a small volcanic island in the Ogasawara Islands of Japan known for its remote location and military history.
-
E.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69cb762ce6208190a24438e26ae83785 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb615dc248190b57b4fc7c430517f |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 4:42 p.m.