Triple
T20190777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sable |
E492972
|
entity |
| Predicate | shopType |
P40799
|
FINISHED |
| Object | tailor shop |
—
|
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: tailor shop | Statement: [Sable, shopType, tailor shop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shopType Context triple: [Sable, shopType, tailor shop]
-
A.
merchantType
Indicates the category or classification of a merchant based on the type of goods or services they provide or the business model they operate under.
-
B.
storeType
chosen
Indicates the category or kind of store associated with an entity, such as its retail or service type.
-
C.
hasShop
Indicates that one entity owns, operates, or is associated with a shop or retail establishment.
-
D.
shopSpecialty
Indicates that a shop primarily focuses on or is specially known for offering a particular type of product or service.
-
E.
shoppingCenterInstanceOf
Indicates that a specific shopping center is an instance of a particular type or class of shopping centers.
- 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad593f88190a1e534fed38b3cd7 |
completed | April 20, 2026, 6:05 p.m. |
| PD | Predicate disambiguation | batch_69e55b11124c8190babacf2a0fe2d057 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:37 p.m.