Triple
T7642579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | shopDisney |
E173041
|
entity |
| Predicate | acceptsOrderType |
P9835
|
FINISHED |
| Object | online orders |
—
|
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: online orders | Statement: [shopDisney, acceptsOrderType, online orders]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acceptsOrderType Context triple: [shopDisney, acceptsOrderType, online orders]
-
A.
orderTypesSupported
chosen
Indicates that a system or entity supports specific types or categories of orders that can be placed or processed.
-
B.
orderType
Indicates the specific category or classification of an order, such as its purpose, channel, or processing method.
-
C.
recognizesOrders
Indicates that one entity formally acknowledges and accepts the orders or directives issued by another entity.
-
D.
canOrder
Indicates that one entity has the ability or permission to place an order for another entity or item.
-
E.
orderBookType
Indicates the specific category or format of an order book associated with a trading or transaction context.
- 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_69c6995360188190968ee57b72a1627f |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6faef96908190a7724b204f9d8c9e |
completed | March 27, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69c6f4e8cadc8190b7977fcd213954dd |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:58 p.m.