Triple
T28172566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avengers Campus at Disney California Adventure |
E715498
|
entity |
| Predicate | featuresMerchandiseLocation |
P22099
|
FINISHED |
| Object | WEB Suppliers |
—
|
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: WEB Suppliers | Statement: [Avengers Campus at Disney California Adventure, featuresMerchandiseLocation, WEB Suppliers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMerchandiseLocation Context triple: [Avengers Campus at Disney California Adventure, featuresMerchandiseLocation, WEB Suppliers]
-
A.
merchandiseSource
Indicates that one entity is the origin, supplier, or provider from which another entity’s merchandise is obtained.
-
B.
featuresShop
chosen
Indicates that an entity prominently presents or includes a particular shop as one of its notable elements or offerings.
-
C.
typicalLocationOnProduct
Indicates the usual physical place or area on a product where something (e.g., a feature, label, or component) is commonly found.
-
D.
featuresProductPlacementFor
Indicates that one entity includes or showcases another entity as a product placement within its content.
-
E.
flagshipStoreLocation
Indicates the location where an organization’s primary or most prominent store is situated.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69fe30bc64308190b603ff1b30c2aeee |
completed | May 8, 2026, 6:51 p.m. |
| PD | Predicate disambiguation | batch_69fe2f7175b081908dd61e1513620bbe |
completed | May 8, 2026, 6:46 p.m. |
Created at: April 27, 2026, 10:13 p.m.