Triple
T8026228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple SoHo store, New York City |
E186860
|
entity |
| Predicate | retailConcept |
P80649
|
FINISHED |
| Object | direct‑to‑consumer brand experience |
—
|
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: direct‑to‑consumer brand experience | Statement: [Apple SoHo store, New York City, retailConcept, direct‑to‑consumer brand experience]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: retailConcept Context triple: [Apple SoHo store, New York City, retailConcept, direct‑to‑consumer brand experience]
-
A.
hasRetailCategory
Indicates that an entity is associated with a specific retail category or type of retail business.
-
B.
hasRetailBoutiquesIn
Indicates that an entity operates or maintains retail boutiques located within a specified place or region.
-
C.
hasRetailPresenceIn
Indicates that an entity conducts retail operations or maintains a retail outlet, store, or sales presence within a specified location.
-
D.
percentageStoreBoughtInConcept
Indicates the proportion of items within a given concept or category that were purchased from a store rather than obtained by other means.
-
E.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
- 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_69ca82ad4e2c8190a693e3c9e30fe66f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ecb00648190bb3144acf3492bb3 |
completed | March 31, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:21 p.m.