Triple
T736787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AutoZone |
E14951
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Auto Shack |
E14951
|
NE 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: Auto Shack | Statement: [AutoZone, formerName, Auto Shack]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Auto Shack Context triple: [AutoZone, formerName, Auto Shack]
-
A.
AutoZone
chosen
AutoZone is a leading American retailer and distributor of automotive replacement parts and accessories, operating thousands of stores across the United States and beyond.
-
B.
Orange Garage
Orange Garage is a multi-level parking facility serving visitors to the Disney Springs shopping, dining, and entertainment district at Walt Disney World Resort in Florida.
-
C.
Michaels
Michaels is the surname of Lorne Michaels, the influential Canadian-American television producer and creator of "Saturday Night Live."
-
D.
Sears Outlet
Sears Outlet was a chain of discount retail stores offering overstocked, discontinued, and refurbished merchandise from Sears, Roebuck & Co.
-
E.
Sears Canada
Sears Canada was a major Canadian department store chain that operated retail stores, catalog, and online shopping until its closure in 2018.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a4934d9930819099eed80096b0597d |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a5effc108190aea8fbe86641ba54 |
completed | March 1, 2026, 8:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a618c248190ab1bcecba04d3da8 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:37 p.m.