Triple
T12857235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Migros |
E307487
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | Migros Bio |
E307487
|
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: Migros Bio | Statement: [Migros, hasBrand, Migros Bio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Migros Bio Context triple: [Migros, hasBrand, Migros Bio]
-
A.
Migros
chosen
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.
-
B.
Tnuva
Tnuva is Israel’s largest food manufacturer and leading dairy company, known for its wide range of milk and dairy products.
-
C.
Tönnies
Tönnies is a German surname most notably associated with the sociologist Ferdinand Tönnies, a founding figure of modern sociology.
-
D.
Arcabonne
Arcabonne is a sorceress and antagonist from the medieval chivalric romance cycle of *Amadis*, known for her vengeful and magical opposition to the hero.
-
E.
Lindt & Sprüngli
Lindt & Sprüngli is a Swiss premium chocolate and confectionery manufacturer renowned worldwide for its high-quality chocolate bars, pralines, and seasonal specialties.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d970231ce48190a4eabc4b8c24a3ff |
completed | April 10, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8cb31dc8190a0dd03ab600d615c |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:37 p.m.