Triple
T9788065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al’s Toy Barn |
E237536
|
entity |
| Predicate | hasCheckoutArea |
P80074
|
FINISHED |
| Object | cash registers |
—
|
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: cash registers | Statement: [Al’s Toy Barn, hasCheckoutArea, cash registers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCheckoutArea Context triple: [Al’s Toy Barn, hasCheckoutArea, cash registers]
-
A.
hasCheckoutCounter
chosen
Indicates that one entity possesses or includes a checkout counter used for processing purchases or transactions.
-
B.
hasWaitingArea
Indicates that an entity provides or includes a designated space where people can wait before receiving a service or proceeding to another area.
-
C.
hasCheckInCategory
Indicates that an entity is associated with a specific category or type of check-in event.
-
D.
hasRetailArea
Indicates that an entity possesses or includes a designated space used for retail or commercial sales activities.
-
E.
hasCheckOutTime
Indicates the specific time at which an entity is required or scheduled to check out or depart.
- 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_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda2131164819099e8644e40a3cab6 |
completed | April 1, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69cd03d77c6c81909b675955bf113320 |
completed | April 1, 2026, 11:39 a.m. |
Created at: March 30, 2026, 8:27 p.m.