Triple

T9660062
Position Surface form Disambiguated ID Type / Status
Subject Shanghai Hongqiao International Airport E233566 entity
Predicate ICAO code P419 FINISHED
Object ZSSS E233567 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: ZSSS | Statement: [Shanghai Hongqiao International Airport, ICAO code, ZSSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZSSS
Context triple: [Shanghai Hongqiao International Airport, ICAO code, ZSSS]
  • A. ZSSS chosen
    ZSSS is the ICAO airport code for Shanghai Hongqiao International Airport, a major domestic and regional aviation hub in Shanghai, China.
  • B. SZZ
    SZZ is the three-letter IATA airport code for Szczecin-Goleniów Airport in northwestern Poland.
  • C. ZS
    ZS is the stock ticker symbol for Zscaler, a cloud-based information security company traded on the NASDAQ.
  • D. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • E. WSSS
    WSSS is the ICAO airport code for Singapore Changi Airport, one of the world’s busiest and most highly rated international air hubs.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9c08d0d0819086426ad6891b18db completed April 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a0b84a0819083191beeaf8d968b completed April 4, 2026, 10 p.m.
Created at: March 30, 2026, 8:14 p.m.