Triple
T3337026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich Film Festival |
E70161
|
entity |
| Predicate | hasSection |
P35
|
FINISHED |
| Object |
ZFF for Kids
ZFF for Kids is the Zurich Film Festival’s dedicated program for children and young audiences, showcasing age-appropriate films and related activities.
|
E349692
|
NE FINISHED |
How this triple was built (4 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: ZFF for Kids | Statement: [Zurich Film Festival, hasSection, ZFF for Kids]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFF for Kids Context triple: [Zurich Film Festival, hasSection, ZFF for Kids]
-
A.
KidZville
KidZville is a children-focused themed area at Canada's Wonderland featuring family-friendly rides, attractions, and entertainment.
-
B.
Zach’s Zoomer
Zach’s Zoomer is a family-friendly wooden roller coaster at Michigan’s Adventure designed as a smaller, gentler ride suitable for younger guests.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
KIDL
KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
-
E.
Zonderkidz
Zonderkidz is the children's publishing division of Christian media company Zondervan, specializing in faith-based books and Bibles for young readers.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ZFF for Kids Triple: [Zurich Film Festival, hasSection, ZFF for Kids]
Generated description
ZFF for Kids is the Zurich Film Festival’s dedicated program for children and young audiences, showcasing age-appropriate films and related activities.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ZFF for Kids Target entity description: ZFF for Kids is the Zurich Film Festival’s dedicated program for children and young audiences, showcasing age-appropriate films and related activities.
-
A.
KidZville
KidZville is a children-focused themed area at Canada's Wonderland featuring family-friendly rides, attractions, and entertainment.
-
B.
Zach’s Zoomer
Zach’s Zoomer is a family-friendly wooden roller coaster at Michigan’s Adventure designed as a smaller, gentler ride suitable for younger guests.
-
C.
FFS
FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
-
D.
KIDL
KIDL is the former ICAO airport code for New York City's Idlewild Airport, which was later renamed John F. Kennedy International Airport.
-
E.
Zonderkidz
Zonderkidz is the children's publishing division of Christian media company Zondervan, specializing in faith-based books and Bibles for young readers.
- F. None of above. chosen
Provenance (5 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b31a8ad1a8819081d7ad2a48e2c5b9 |
completed | March 12, 2026, 7:56 p.m. |
| NEDg | Description generation | batch_69b31c393f20819098d5761372d6a980 |
completed | March 12, 2026, 8:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b3206be2748190874560701dc1ed18 |
completed | March 12, 2026, 8:22 p.m. |
Created at: March 8, 2026, 3:12 p.m.