Triple
T14869375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zurich Film Festival |
E349702
|
entity |
| Predicate | abbreviatedAs |
P43
|
FINISHED |
| Object | ZFF |
E349702
|
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: ZFF | Statement: [Zurich Film Festival, abbreviatedAs, ZFF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFF Context triple: [Zurich Film Festival, abbreviatedAs, ZFF]
-
A.
ZFF
chosen
ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
-
B.
ZFF Industry
ZFF Industry is the Zurich Film Festival’s professional platform that hosts industry events, networking opportunities, and business initiatives for film professionals.
-
C.
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.
-
D.
ZF
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
E.
ZFD
ZFD is the National Rail station code used to identify Farringdon railway station in London.
- 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_69d822ee4f408190b6ac3b2fa434f0df |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded5776b848190bfe3a06ff261dc31 |
completed | April 15, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe651067cc8190b9c218ef1f802762 |
completed | May 8, 2026, 10:34 p.m. |
Created at: April 10, 2026, 1:55 a.m.