Triple
T27835710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | マルイ |
E703220
|
entity |
| Predicate | 主な業態 |
P163397
|
FINISHED |
| Object | 百貨店 |
—
|
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: 百貨店 | Statement: [マルイ, 主な業態, 百貨店]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 主な業態 Context triple: [マルイ, 主な業態, 百貨店]
-
A.
流域の主な産業
Indicates the primary industries or economic activities that are characteristic of and predominantly carried out within a given river basin.
-
B.
economicSectorDominant
Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
-
C.
operatesPrimarilyOn
Indicates that one entity is mainly or chiefly used to act upon, affect, or process another entity.
-
D.
majorTradeType
Indicates the primary category or kind of trade activity that characterizes the relationship between the involved entities.
-
E.
laterMainBusiness
Indicates that one business activity or enterprise occurs after and succeeds another as the main business.
- F. None of above. chosen
Provenance (4 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_69ef840b94b08190950a4f77296938b2 |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69f638d11c988190af7fd4572b08e038 |
completed | May 2, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69f6318ae6f08190b3f85f9201046a15 |
completed | May 2, 2026, 5:16 p.m. |
| PDg | Predicate description generation | batch_69f6359d46b88190922dd7de508e3b0e |
completed | May 2, 2026, 5:34 p.m. |
Created at: April 27, 2026, 5:59 p.m.