Triple
T26425362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dayton Company |
E664356
|
entity |
| Predicate | notableProductOrService |
P24034
|
FINISHED |
| Object | department store retailing |
—
|
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: department store retailing | Statement: [Dayton Company, notableProductOrService, department store retailing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableProductOrService Context triple: [Dayton Company, notableProductOrService, department store retailing]
-
A.
notableProductType
Indicates that an entity is particularly well-known or distinguished for producing or offering a specific type of product.
-
B.
notableProduct
Indicates that a product is especially significant, prominent, or well-known in relation to the associated entity.
-
C.
notableServiceType
chosen
Indicates that the subject is associated with a particular type or category of service that is especially notable or significant.
-
D.
dataProductOf
Indicates that one entity is a data product that is derived from, produced by, or otherwise results from another entity.
-
E.
serviceOf
Indicates that one entity performs, provides, or fulfills a function or duty on behalf of another 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69feb342994081909481ec8ec5d44928 |
completed | May 9, 2026, 4:08 a.m. |
| PD | Predicate disambiguation | batch_69feb046e4e48190b96649aa28529cc9 |
completed | May 9, 2026, 3:55 a.m. |
Created at: April 26, 2026, 11:45 p.m.