Triple
T27540731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lumine Co., Ltd. |
E695226
|
entity |
| Predicate | typicalLocationOfStores |
P91034
|
FINISHED |
| Object | major railway hubs |
—
|
LITERAL 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: major railway hubs | Statement: [Lumine Co., Ltd., typicalLocationOfStores, major railway hubs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalLocationOfStores Context triple: [Lumine Co., Ltd., typicalLocationOfStores, major railway hubs]
-
A.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
B.
typicalStorePlacement
Indicates the usual or standard physical location where an item is placed or displayed within a store.
-
C.
typicalUseLocation
Indicates the usual or most common location where an entity is used or operates.
-
D.
locationOfShoppingCenter
Indicates that a specified place is the geographic location where a particular shopping center is situated.
-
E.
oftenLocatedAt
chosen
Indicates that an entity is frequently or commonly found at, or associated with being in, a particular location.
- F. None of above.
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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69ffc89596d08190b97bd60b45c7f9c0 |
completed | May 9, 2026, 11:51 p.m. |
| PD | Predicate disambiguation | batch_69ffc81ba5dc8190ae94d44e2284948f |
completed | May 9, 2026, 11:49 p.m. |
Created at: April 27, 2026, 1:31 p.m.