Triple
T11962026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metro AG |
E284690
|
entity |
| Predicate | brand |
P1500
|
FINISHED |
| Object | Makro Cash & Carry |
E956303
|
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: Makro Cash & Carry | Statement: [Metro AG, brand, Makro Cash & Carry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Makro Cash & Carry Context triple: [Metro AG, brand, Makro Cash & Carry]
-
A.
METRO Cash & Carry
chosen
METRO Cash & Carry is a global wholesale and foodservice distribution chain serving professional customers such as retailers, hotels, and restaurants.
-
B.
Sky Mart
Sky Mart is an elevated sidewalk and pedestrian walkway system in downtown Morristown, Tennessee, that connects buildings above street level.
-
C.
Maxi-Mart
Maxi-Mart is a local convenience and grocery store in Highland, Texas, serving as a notable neighborhood shopping spot for residents.
-
D.
Kmart Corporation
Kmart Corporation is a U.S.-based discount retail chain that became part of Sears Holdings after merging with Sears, Roebuck & Co.
-
E.
E-Mart
E-Mart is a major South Korean discount retail and hypermarket chain operated by the Shinsegae Group.
- 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_69d6ab2eaeb881909f7914758f859413 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9037848f481908276716675464464 |
completed | April 10, 2026, 2:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471d625c88190baed4ea08853988a |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.