Triple
T5254523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pekar |
E118666
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Pekár |
E495535
|
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: Pekár | Statement: [Pekar, hasVariant, Pekár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pekár Context triple: [Pekar, hasVariant, Pekár]
-
A.
Pekár
chosen
Pekár is a Central European surname of likely Czech or Slovak origin, commonly associated with individuals from that linguistic and cultural region.
-
B.
Café Sabarsky
Café Sabarsky is an Austrian-style café in New York City known for its Viennese pastries, coffee, and ambiance evoking early 20th-century Central European coffeehouse culture.
-
C.
Zauner pastry shop
Zauner pastry shop is a historic and renowned Austrian confectionery and café in Bad Ischl, famous for its traditional pastries and classic coffeehouse atmosphere.
-
D.
Kráľovský Chlmec
Kráľovský Chlmec is a small town in southern Slovakia known for its predominantly Hungarian-speaking population and its location near the borders with Hungary and Ukraine.
-
E.
Stölzl
Stölzl is a German surname most notably associated with Gunta Stölzl, a pioneering textile artist and master at the Bauhaus.
- 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_69bd446978108190bb5f9c5c23d93f88 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7ba1cca88190bebd516851b9bf7f |
completed | March 20, 2026, 4:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69befe7708108190ac772f7b2d5ab02a |
completed | March 21, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:50 p.m.