Triple
T19554123
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Publix |
E489262
|
entity |
| Predicate | hasDivision |
P35
|
FINISHED |
| Object | Publix Pharmacy |
—
|
NE NERFINISHED |
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: Publix Pharmacy | Statement: [Publix, hasDivision, Publix Pharmacy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Publix Pharmacy Context triple: [Publix, hasDivision, Publix Pharmacy]
-
A.
Rite Aid
Rite Aid is a major American pharmacy chain that operates retail drugstores offering prescription medications, health and wellness products, and convenience items.
-
B.
CVS Pharmacy
CVS Pharmacy is a major American retail pharmacy chain offering prescription medications, health and wellness products, and general merchandise.
-
C.
Duane Reade
Duane Reade is a New York City–based chain of neighborhood pharmacy and convenience stores known for its dense urban presence and everyday consumer goods.
-
D.
Publix
chosen
Publix is a major employee-owned American supermarket chain based in the Southeastern United States.
-
E.
Schwab's Pharmacy
Schwab's Pharmacy was a famous Hollywood drugstore and soda fountain legendary as the spot where actress Lana Turner was discovered and as a popular hangout for film industry figures.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63d3254548190828a5f7e9a851ef8 |
completed | April 20, 2026, 2:50 p.m. |
Created at: April 10, 2026, 1:41 p.m.