Triple
T15241908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | S.S. Kresge Company |
E364275
|
entity |
| Predicate | notableBrand |
P1500
|
FINISHED |
| Object | Kmart |
E74427
|
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: Kmart | Statement: [S.S. Kresge Company, notableBrand, Kmart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kmart Context triple: [S.S. Kresge Company, notableBrand, Kmart]
-
A.
Kmart Corporation
chosen
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
-
B.
E-Mart
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
-
C.
Dollar General
Dollar General is a major American discount retail chain known for its widespread network of small-format stores offering low-priced household goods and everyday essentials.
-
D.
Target Corporation
Target Corporation is a major American big-box retail chain known for its broad selection of affordable, stylish merchandise and nationwide presence.
-
E.
Meijer
Meijer is a Dutch-origin surname borne by numerous individuals, including notable figures in business, politics, and the arts.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007dcc33081908545ea1a1d2c19fe |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd41b7c48190917385c6c61370b2 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.