Triple
T9470992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Walton |
E228387
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | Walmart |
E189293
|
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: Walmart | Statement: [Sam Walton, founded, Walmart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Walmart Context triple: [Sam Walton, founded, Walmart]
-
A.
Walmart Inc.
chosen
Walmart Inc. is a multinational retail corporation that operates a chain of hypermarkets, discount department stores, and grocery stores and is one of the world’s largest companies by revenue.
-
B.
Walmart Supercenter
Walmart Supercenter is a large-format retail store chain in the United States that combines a full supermarket with a wide range of general merchandise under one roof.
-
C.
Target Corporation
Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
-
D.
E-Mart
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
-
E.
Kmart Corporation
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
- 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fee13a88190b4532fb92ddaf401 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d122cd0728819088f6c832cd90d832 |
completed | April 4, 2026, 2:40 p.m. |
Created at: March 30, 2026, 7:53 p.m.