Triple
T3430083
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | At Home Group |
E72314
|
entity |
| Predicate | competitor |
P1375
|
FINISHED |
| Object | IKEA |
E189093
|
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: IKEA | Statement: [At Home Group, competitor, IKEA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: IKEA Context triple: [At Home Group, competitor, IKEA]
-
A.
IKEA
chosen
IKEA is a multinational Swedish-founded retailer known for its affordable, flat-pack furniture, home goods, and large warehouse-style stores worldwide.
-
B.
Iittala
Iittala is a Finnish design brand renowned for its high-quality glassware and timeless Scandinavian tableware and home objects.
-
C.
Artek
Artek is a Finnish design company renowned for its modernist furniture and interiors that blend functionalism with organic forms.
-
D.
Behrs
Behrs is the maiden surname of Sophia Tolstaya, the wife of Russian novelist Leo Tolstoy, and belongs to a Russian noble family.
-
E.
Blomberg
Blomberg is a small town in the Lippe district of North Rhine-Westphalia, Germany, known as the birthplace of former German chancellor Gerhard Schröder.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9bd61908190a7bdd01f24334fc3 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547b1b3481909646bf36e8461ff4 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.