Triple
T6045721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankyu Hanshin Hotels Co., Ltd. |
E134660
|
entity |
| Predicate | primaryCustomerBase |
P34539
|
FINISHED |
| Object | domestic tourists |
—
|
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: domestic tourists | Statement: [Hankyu Hanshin Hotels Co., Ltd., primaryCustomerBase, domestic tourists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryCustomerBase Context triple: [Hankyu Hanshin Hotels Co., Ltd., primaryCustomerBase, domestic tourists]
-
A.
majorCustomer
Indicates that one entity is a primary or high-value customer of another entity, typically contributing a significant portion of business or revenue.
-
B.
primaryClient
Indicates that one entity serves as the main or most important client associated with another entity.
-
C.
primaryVisitors
chosen
Indicates that certain entities are the main or most important visitors associated with another entity or context.
-
D.
secondaryCustomer
Indicates a relationship where one customer is designated as an additional or subordinate customer associated with a primary customer in a given context.
-
E.
primaryInvestorBase
Indicates the main group or category of investors that predominantly provide capital or funding to an entity.
- 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_69c00876a69881908088a2626d3b2666 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056e53f508190864be04bc016c525 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:09 p.m.