Triple
T13366113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Karstadt |
E318941
|
entity |
| Predicate | hasCompetitor |
P1375
|
FINISHED |
| Object | Kaufhof |
E314912
|
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: Kaufhof | Statement: [Karstadt, hasCompetitor, Kaufhof]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaufhof Context triple: [Karstadt, hasCompetitor, Kaufhof]
-
A.
Kaufhof
chosen
Kaufhof was a major German department store chain that later became part of the Galeria Kaufhof brand.
-
B.
Karstadt
Karstadt is a major German department store chain known for its wide range of consumer goods and long-standing presence in the country’s retail sector.
-
C.
Titche-Goettinger department store
Titche-Goettinger department store was a prominent Dallas-based retail establishment that became a landmark of early 20th-century commerce and urban development in the city.
-
D.
Auchan hypermarket
Auchan hypermarket is a major French multinational retail chain of large-format supermarkets offering a wide range of groceries, household goods, and general merchandise.
-
E.
Migros
Migros is Switzerland’s largest retail cooperative and a major supermarket chain known for its extensive network of stores, consumer goods, and cultural and social initiatives.
- 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_69d806b7bbac8190b85278c87fa7aff3 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69da628c71ac81908cfa36342077766e |
completed | April 11, 2026, 3:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7397f098c8190a2062d8c1a74d28f |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:32 p.m.