Triple
T12869958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Missoni |
E307821
|
entity |
| Predicate | operatesStoreType |
P40799
|
FINISHED |
| Object | flagship store |
—
|
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: flagship store | Statement: [Missoni, operatesStoreType, flagship store]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesStoreType Context triple: [Missoni, operatesStoreType, flagship store]
-
A.
operatedBookstore
Indicates that one entity managed and ran the day-to-day operations of a bookstore owned or controlled by another entity.
-
B.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
C.
operatesUnitType
Indicates that an entity runs, manages, or controls a unit of a specified type.
-
D.
operatesUnderFranchiseFrom
Indicates that one entity conducts its business or operations under the franchising rights, brand, and system granted by another entity.
-
E.
operatesOnSiteType
Indicates that an entity conducts its operations or activities at, or in association with, a specified type of site or location.
- 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_69d7bdf69bc48190af6c2621f28ca351 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d97c7f91d08190aac2f6419d3ba992 |
completed | April 10, 2026, 10:41 p.m. |
| PD | Predicate disambiguation | batch_69d96fa55b888190ab1612e93c41aec4 |
completed | April 10, 2026, 9:46 p.m. |
Created at: April 9, 2026, 5:38 p.m.