Triple
T26425468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Target Greatland |
E664358
|
entity |
| Predicate | hasCheckoutType |
P170350
|
FINISHED |
| Object | multiple staffed checkout lanes |
—
|
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: multiple staffed checkout lanes | Statement: [Target Greatland, hasCheckoutType, multiple staffed checkout lanes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheckoutType Context triple: [Target Greatland, hasCheckoutType, multiple staffed checkout lanes]
-
A.
hasCheckoutCounter
Indicates that one entity possesses or includes a checkout counter used for processing purchases or transactions.
-
B.
hasCheckInCategory
Indicates that an entity is associated with a specific category or type of check-in event.
-
C.
hasRateType
Indicates the specific category or scheme under which a rate (such as a price, fee, or interest) is defined or applied.
-
D.
hasCheckOutTime
Indicates the specific time at which an entity is required or scheduled to check out or depart.
-
E.
hasPaymentOption
Indicates that an entity supports or offers a particular method or option for making payments.
- F. None of above. chosen
Provenance (4 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_69ee883ad6a4819088f918e76122d690 |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b78f29481908cc8f390496dee97 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68f6584a88190a8c4d95c0c84bee9 |
completed | May 2, 2026, 11:57 p.m. |
Created at: April 26, 2026, 11:45 p.m.