Triple
T7226605
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tim Hortons |
E154795
|
entity |
| Predicate | typicalStoreFormat |
P40799
|
FINISHED |
| Object | standalone restaurant |
—
|
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: standalone restaurant | Statement: [Tim Hortons, typicalStoreFormat, standalone restaurant]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalStoreFormat Context triple: [Tim Hortons, typicalStoreFormat, standalone restaurant]
-
A.
typicalPictureFormat
Indicates the standard or most commonly used picture format associated with an entity (such as a device, medium, or context).
-
B.
typicalReleaseFormat
Indicates the usual or standard format in which something is released or published.
-
C.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
D.
typicalUsageFormat
Indicates the usual or standard way in which something is expressed, presented, or formatted in practice.
-
E.
operatesInFormat
Indicates that an entity functions, performs its role, or is carried out using a specified format.
- 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_69c68811dd1c8190ac460bb39e64e1f0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6e9de21e081908f30700f6211c5ef |
completed | March 27, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69c6e761b7fc8190857794d78af1b468 |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 2:54 p.m.