Triple
T13590779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sephora |
E324685
|
entity |
| Predicate | hasStoreConcept |
P531
|
FINISHED |
| Object | experiential retail |
—
|
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: experiential retail | Statement: [Sephora, hasStoreConcept, experiential retail]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStoreConcept Context triple: [Sephora, hasStoreConcept, experiential retail]
-
A.
hasNotableStore
Indicates that an entity operates or is associated with a store that is considered notable or significant in some way.
-
B.
hasStoreLocation
Indicates that an entity operates or maintains a store at a specified physical location.
-
C.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
D.
hasAnchorStores
Indicates that a retail property or shopping center includes one or more major anchor stores as primary tenants.
-
E.
hasTeamStore
Indicates that an entity operates, is associated with, or provides access to a specific team-related retail store.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.