Triple
T11504785
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kurów |
E272753
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object | Kurów@pl |
E272753
|
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: Kurów@pl | Statement: [Kurów, hasNameInLanguage, Kurów@pl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurów@pl Context triple: [Kurów, hasNameInLanguage, Kurów@pl]
-
A.
Kurów
chosen
Kurów is a village in eastern Poland best known as the birthplace of former Polish leader Wojciech Jaruzelski.
-
B.
Kuryłówka
Kuryłówka is a village in southeastern Poland, historically notable as the birthplace of pianist, composer, and statesman Ignacy Jan Paderewski.
-
C.
Dźwierzuty
Dźwierzuty is a village in northern Poland that serves as the administrative seat of Gmina Dźwierzuty in the Warmian-Masurian Voivodeship.
-
D.
Krupówki
Krupówki is the bustling main pedestrian street and commercial heart of Zakopane, Poland, known for its shops, restaurants, and traditional highland atmosphere.
-
E.
Bové
Bové is the surname of Joseph Bové, a prominent 19th-century architect known for helping shape the neoclassical appearance of central Moscow.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db2f4b08190801de1b773932f59 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e624d666c081908253cea4e2da1a4a |
completed | April 20, 2026, 1:06 p.m. |
Created at: April 8, 2026, 9:36 p.m.