Triple

T5620216
Position Surface form Disambiguated ID Type / Status
Subject Szczecin-Goleniów Airport E147581 entity
Predicate IATAcode P418 FINISHED
Object SZZ
SZZ is the three-letter IATA airport code for Szczecin-Goleniów Airport in northwestern Poland.
E528256 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: SZZ | Statement: [Szczecin-Goleniów Airport, IATAcode, SZZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SZZ
Context triple: [Szczecin-Goleniów Airport, IATAcode, SZZ]
  • A. ZSSS
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. SZU
    SZU is the commonly used abbreviation for Shenzhen University, a comprehensive public university located in Shenzhen, China.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • 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: SZZ
Triple: [Szczecin-Goleniów Airport, IATAcode, SZZ]
Generated description
SZZ is the three-letter IATA airport code for Szczecin-Goleniów Airport in northwestern Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SZZ
Target entity description: SZZ is the three-letter IATA airport code for Szczecin-Goleniów Airport in northwestern Poland.
  • A. ZSSS
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • B. SZ
    SZ is the vehicle registration code for the German city of Salzgitter in Lower Saxony.
  • C. SZU
    SZU is the commonly used abbreviation for Shenzhen University, a comprehensive public university located in Shenzhen, China.
  • D. ZZ
    ZZ is an aircraft registration prefix used to identify certain aircraft, such as those in the Voyager KC2 fleet.
  • 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_69c00906f2a88190a992c66b13d606d4 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c022108db8819098739510366adee1 completed March 22, 2026, 5:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287fcde881908f761b701bf9a4f3 completed March 22, 2026, 5:36 p.m.
NEDg Description generation batch_69c03894b9388190bd534ad107722b83 completed March 22, 2026, 6:44 p.m.
NED2 Entity disambiguation (via description) batch_69c03932eb8c8190a572d4ae3831c9dc completed March 22, 2026, 6:47 p.m.
Created at: March 22, 2026, 3:40 p.m.