Triple
T27399199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sugamo |
E691781
|
entity |
| Predicate | hasShoppingTheme |
P48415
|
FINISHED |
| Object | senior-friendly goods and services |
—
|
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: senior-friendly goods and services | Statement: [Sugamo, hasShoppingTheme, senior-friendly goods and services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoppingTheme Context triple: [Sugamo, hasShoppingTheme, senior-friendly goods and services]
-
A.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
B.
hasMarketingTheme
chosen
Indicates that an entity is associated with or characterized by a particular marketing theme or campaign concept.
-
C.
hasShoppingMall
Indicates that one entity possesses, contains, or includes a shopping mall within its area or domain.
-
D.
hasThemeType
Indicates that something is associated with or characterized by a particular thematic category or type.
-
E.
hasMotiveTheme
Indicates that an action, event, or situation is associated with a central motivating theme or underlying driving idea.
- 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_69ef5204f7048190bf226a129858fc5b |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 12:28 p.m.