Triple

T3337043
Position Surface form Disambiguated ID Type / Status
Subject Zurich Film Festival E70161 entity
Predicate alsoKnownAs P39 FINISHED
Object ZFF
ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
E349702 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 | Statement: [Zurich Film Festival, alsoKnownAs, ZFF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZFF
Context triple: [Zurich Film Festival, alsoKnownAs, ZFF]
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • D. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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
Triple: [Zurich Film Festival, alsoKnownAs, ZFF]
Generated description
ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ZFF
Target entity description: ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
  • A. ZF
    ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
  • B. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • C. FFS
    FFS is the commonly used abbreviation for the Swiss Federal Railways, the national railway company of Switzerland.
  • D. ZSFG
    ZSFG is a major public hospital and Level I trauma center serving San Francisco, known for providing comprehensive emergency, inpatient, and outpatient medical care.
  • E. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • 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_69b31c3aaba48190b203e344d71080f3 completed March 12, 2026, 8:04 p.m.
NED2 Entity disambiguation (via description) batch_69b31da28a04819096e7ced5f123592a completed March 12, 2026, 8:10 p.m.
Created at: March 8, 2026, 3:12 p.m.