Triple
T18617860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pilsen Open Studios |
E455075
|
entity |
| Predicate | neighborhood |
P988
|
FINISHED |
| Object | Pilsen |
—
|
NE NERFINISHED |
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: Pilsen | Statement: [Pilsen Open Studios, neighborhood, Pilsen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilsen Context triple: [Pilsen Open Studios, neighborhood, Pilsen]
-
A.
Pilsen
Pilsen is a city in the Czech Republic best known as the birthplace of Pilsner beer, a pale lager style that became one of the world’s most popular.
-
B.
Pilsen
chosen
Pilsen is a historically Mexican-American neighborhood on Chicago’s Lower West Side known for its vibrant murals, cultural institutions, and lively arts and food scene.
-
C.
Karlín
Karlín is a historic district of Prague known for its revitalized industrial architecture, vibrant cultural scene, and proximity to the city center.
-
D.
Pilsen Art District
Pilsen Art District is a vibrant Chicago neighborhood hub known for its Mexican-American culture, colorful murals, galleries, and community arts events.
-
E.
Orel
Orel is a male given name most famously associated with former Major League Baseball pitcher Orel Hershiser.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d06c1f8819094fbfa56eca07eaa |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:46 a.m.